Facilitating chromatic adaptation of display contents at computing devices based on chromatic monitoring of environmental light

ABSTRACT

A mechanism is described for facilitating chromatic adaptation of display contents based on chromatic monitoring of environmental light at computing devices. A method of embodiments, as described herein, includes receiving sensory input data indicating one or more ambient colors based on real-time or periodic chromatic monitoring of environmental light surrounding the apparatus. The method may further include referring the sensory input data against contents of a lookup table to determine color compensation of content based on the one or more ambient colors, and dynamically facilitating chromatic adaptation of existing colors of the content based on the color compensation to compensate the content. The method may further include rendering the compensated content to be displayed via a display device.

FIELD

Embodiments described herein generally relate to computers. Moreparticularly, embodiments relate to a mechanism for facilitatingchromatic adaptation of display contents at computing devices based onchromatic monitoring of environmental light.

BACKGROUND

It is contemplated that modern computing devices, such as mobilecomputing devices, may be easily and frequently moved from one extremelighting environment (e.g., dark indoors) to another extreme lightingenvironment (e.g., bright outdoors). However, conventional techniques donot take into account or compensate for environmental ambient colorchanges embedded in varying lights, severely restraining the visibilityof display contents and consequently, limiting the potential userexperience.

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments are illustrated by way of example, and not by way oflimitation, in the figures of the accompanying drawings in which likereference numerals refer to similar elements.

FIG. 1 is a block diagram of a processing system, according to anembodiment.

FIG. 2 is a block diagram of an embodiment of a processor having one ormore processor cores, an integrated memory controller, and an integratedgraphics processor.

FIG. 3 is a block diagram of a graphics processor, which may be adiscrete graphics processing unit, or may be a graphics processorintegrated with a plurality of processing cores.

FIG. 4 is a block diagram of a graphics processing engine of a graphicsprocessor in accordance with some embodiments.

FIG. 5 is a block diagram of another embodiment of a graphics processor.

FIG. 6 illustrates thread execution logic including an array ofprocessing elements employed in some embodiments of a graphicsprocessing engine.

FIG. 7 is a block diagram illustrating a graphics processor instructionformats according to some embodiments.

FIG. 8 is a block diagram of another embodiment of a graphics processor.

FIG. 9A is a block diagram illustrating a graphics processor commandformat according to an embodiment and FIG. 9B is a block diagramillustrating a graphics processor command sequence according to anembodiment.

FIG. 10 illustrates exemplary graphics software architecture for a dataprocessing system according to some embodiments.

FIG. 11 is a block diagram illustrating an IP core development systemthat may be used to manufacture an integrated circuit to performoperations according to an embodiment.

FIG. 12 is a block diagram illustrating an exemplary system on a chipintegrated circuit that may be fabricated using one or more IP cores,according to an embodiment.

FIG. 13 illustrates a computing device employing a color compensationmechanism according to one embodiment.

FIG. 14 illustrates a color compensation mechanism according to oneembodiment.

FIG. 15A illustrates an architectural setup according to one embodiment.

FIG. 15B illustrates an architectural setup according to one embodiment.

FIG. 15C illustrates an architectural setup according to one embodiment.

FIG. 16 illustrates a method for color compensation of content accordingto one embodiment.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth.However, embodiments, as described herein, may be practiced withoutthese specific details. In other instances, well-known circuits,structures and techniques have not been shown in details in order not toobscure the understanding of this description.

Embodiments provide for a novel technique for real-time monitoring ofchromatic variances within environmental lights in environmentsassociated with a computing device and using the monitoring data tofacilitate dynamic adaptation of display contents, such as video, text,graphics, etc., of the computing device.

However, as aforementioned, conventional techniques do not take intoconsideration the ambient color of the environmental light as most ofsuch techniques merely go as far as detecting luminosity, such asbrightness or dullness of the light. Not only these conventionaltechniques are limiting, but they can be particularly troublesome whenthe computing device is in use in an environment where the environmentalluminosity differs from or may even be opposite of the environmentalambient color, such as cool bright light, warm dull light, etc.

In one embodiment, enhanced visibility of display contents is providedat computing devices by facilitating chromatic adaptation of the displaycontents, such as in addition to the luminosity compensation.

System Overview

FIG. 1 is a block diagram of a processing system 100, according to anembodiment. In various embodiments the system 100 includes one or moreprocessors 102 and one or more graphics processors 108, and may be asingle processor desktop system, a multiprocessor workstation system, ora server system having a large number of processors 102 or processorcores 107. In on embodiment, the system 100 is a processing platformincorporated within a system-on-a-chip (SoC) integrated circuit for usein mobile, handheld, or embedded devices.

An embodiment of system 100 can include, or be incorporated within aserver-based gaming platform, a game console, including a game and mediaconsole, a mobile gaming console, a handheld game console, or an onlinegame console. In some embodiments system 100 is a mobile phone, smartphone, tablet computing device or mobile Internet device. Dataprocessing system 100 can also include, couple with, or be integratedwithin a wearable device, such as a smart watch wearable device, smarteyewear device, augmented reality device, or virtual reality device. Insome embodiments, data processing system 100 is a television or set topbox device having one or more processors 102 and a graphical interfacegenerated by one or more graphics processors 108.

In some embodiments, the one or more processors 102 each include one ormore processor cores 107 to process instructions which, when executed,perform operations for system and user software. In some embodiments,each of the one or more processor cores 107 is configured to process aspecific instruction set 109. In some embodiments, instruction set 109may facilitate Complex Instruction Set Computing (CISC), ReducedInstruction Set Computing (RISC), or computing via a Very LongInstruction Word (VLIW). Multiple processor cores 107 may each process adifferent instruction set 109, which may include instructions tofacilitate the emulation of other instruction sets. Processor core 107may also include other processing devices, such a Digital SignalProcessor (DSP).

In some embodiments, the processor 102 includes cache memory 104.Depending on the architecture, the processor 102 can have a singleinternal cache or multiple levels of internal cache. In someembodiments, the cache memory is shared among various components of theprocessor 102. In some embodiments, the processor 102 also uses anexternal cache (e.g., a Level-3 (L3) cache or Last Level Cache (LLC))(not shown), which may be shared among processor cores 107 using knowncache coherency techniques. A register file 106 is additionally includedin processor 102 which may include different types of registers forstoring different types of data (e.g., integer registers, floating pointregisters, status registers, and an instruction pointer register). Someregisters may be general-purpose registers, while other registers may bespecific to the design of the processor 102.

In some embodiments, processor 102 is coupled to a processor bus 110 totransmit communication signals such as address, data, or control signalsbetween processor 102 and other components in system 100. In oneembodiment the system 100 uses an exemplary ‘hub’ system architecture,including a memory controller hub 116 and an Input Output (I/O)controller hub 130. A memory controller hub 116 facilitatescommunication between a memory device and other components of system100, while an I/O Controller Hub (ICH) 130 provides connections to I/Odevices via a local I/O bus. In one embodiment, the logic of the memorycontroller hub 116 is integrated within the processor.

Memory device 120 can be a dynamic random access memory (DRAM) device, astatic random access memory (SRAM) device, flash memory device,phase-change memory device, or some other memory device having suitableperformance to serve as process memory. In one embodiment the memorydevice 120 can operate as system memory for the system 100, to storedata 122 and instructions 121 for use when the one or more processors102 executes an application or process. Memory controller hub 116 alsocouples with an optional external graphics processor 112, which maycommunicate with the one or more graphics processors 108 in processors102 to perform graphics and media operations. In some embodiments, ICH130 enables peripherals to connect to memory device 120 and processor102 via a high-speed I/O bus. The I/O peripherals include, but are notlimited to, an audio controller 146, a firmware interface 128, awireless transceiver 126 (e.g., Wi-Fi, Bluetooth), a data storage device124 (e.g., hard disk drive, flash memory, etc.), and a legacy I/Ocontroller 140 for coupling legacy (e.g., Personal System 2 (PS/2))devices to the system. One or more Universal Serial Bus (USB)controllers 142 connect input devices, such as keyboard and mouse 144combinations. A network controller 134 may also couple to ICH 130. Insome embodiments, a high-performance network controller (not shown)couples to processor bus 110. It will be appreciated that the system 100shown is exemplary and not limiting, as other types of data processingsystems that are differently configured may also be used. For example,the I/O controller hub 130 may be integrated within the one or moreprocessor 102, or the memory controller hub 116 and I/O controller hub130 may be integrated into a discreet external graphics processor, suchas the external graphics processor 112.

FIG. 2 is a block diagram of an embodiment of a processor 200 having oneor more processor cores 202A-202N, an integrated memory controller 214,and an integrated graphics processor 208. Those elements of FIG. 2having the same reference numbers (or names) as the elements of anyother figure herein can operate or function in any manner similar tothat described elsewhere herein, but are not limited to such. Processor200 can include additional cores up to and including additional core202N represented by the dashed lined boxes. Each of processor cores202A-202N includes one or more internal cache units 204A-204N. In someembodiments each processor core also has access to one or more sharedcached units 206.

The internal cache units 204A-204N and shared cache units 206 representa cache memory hierarchy within the processor 200. The cache memoryhierarchy may include at least one level of instruction and data cachewithin each processor core and one or more levels of shared mid-levelcache, such as a Level 2 (L2), Level 3 (L3), Level 4 (L4), or otherlevels of cache, where the highest level of cache before external memoryis classified as the LLC. In some embodiments, cache coherency logicmaintains coherency between the various cache units 206 and 204A-204N.

In some embodiments, processor 200 may also include a set of one or morebus controller units 216 and a system agent core 210. The one or morebus controller units 216 manage a set of peripheral buses, such as oneor more Peripheral Component Interconnect buses (e.g., PCI, PCIExpress). System agent core 210 provides management functionality forthe various processor components. In some embodiments, system agent core210 includes one or more integrated memory controllers 214 to manageaccess to various external memory devices (not shown).

In some embodiments, one or more of the processor cores 202A-202Ninclude support for simultaneous multi-threading. In such embodiment,the system agent core 210 includes components for coordinating andoperating cores 202A-202N during multi-threaded processing. System agentcore 210 may additionally include a power control unit (PCU), whichincludes logic and components to regulate the power state of processorcores 202A-202N and graphics processor 208.

In some embodiments, processor 200 additionally includes graphicsprocessor 208 to execute graphics processing operations. In someembodiments, the graphics processor 208 couples with the set of sharedcache units 206, and the system agent core 210, including the one ormore integrated memory controllers 214. In some embodiments, a displaycontroller 211 is coupled with the graphics processor 208 to drivegraphics processor output to one or more coupled displays. In someembodiments, display controller 211 may be a separate module coupledwith the graphics processor via at least one interconnect, or may beintegrated within the graphics processor 208 or system agent core 210.

In some embodiments, a ring based interconnect unit 212 is used tocouple the internal components of the processor 200. However, analternative interconnect unit may be used, such as a point-to-pointinterconnect, a switched interconnect, or other techniques, includingtechniques well known in the art. In some embodiments, graphicsprocessor 208 couples with the ring interconnect 212 via an I/O link213.

The exemplary I/O link 213 represents at least one of multiple varietiesof I/O interconnects, including an on package I/O interconnect whichfacilitates communication between various processor components and ahigh-performance embedded memory module 218, such as an eDRAM module. Insome embodiments, each of the processor cores 202-202N and graphicsprocessor 208 use embedded memory modules 218 as a shared Last LevelCache.

In some embodiments, processor cores 202A-202N are homogenous coresexecuting the same instruction set architecture. In another embodiment,processor cores 202A-202N are heterogeneous in terms of instruction setarchitecture (ISA), where one or more of processor cores 202A-N executea first instruction set, while at least one of the other cores executesa subset of the first instruction set or a different instruction set. Inone embodiment processor cores 202A-202N are heterogeneous in terms ofmicroarchitecture, where one or more cores having a relatively higherpower consumption couple with one or more power cores having a lowerpower consumption. Additionally, processor 200 can be implemented on oneor more chips or as an SoC integrated circuit having the illustratedcomponents, in addition to other components.

FIG. 3 is a block diagram of a graphics processor 300, which may be adiscrete graphics processing unit, or may be a graphics processorintegrated with a plurality of processing cores. In some embodiments,the graphics processor communicates via a memory mapped I/O interface toregisters on the graphics processor and with commands placed into theprocessor memory. In some embodiments, graphics processor 300 includes amemory interface 314 to access memory. Memory interface 314 can be aninterface to local memory, one or more internal caches, one or moreshared external caches, and/or to system memory.

In some embodiments, graphics processor 300 also includes a displaycontroller 302 to drive display output data to a display device 320.Display controller 302 includes hardware for one or more overlay planesfor the display and composition of multiple layers of video or userinterface elements. In some embodiments, graphics processor 300 includesa video codec engine 306 to encode, decode, or transcode media to, from,or between one or more media encoding formats, including, but notlimited to Moving Picture Experts Group (MPEG) formats such as MPEG-2,Advanced Video Coding (AVC) formats such as H.264/MPEG-4 AVC, as well asthe Society of Motion Picture & Television Engineers (SMPTE) 421M/VC-1,and Joint Photographic Experts Group (JPEG) formats such as JPEG, andMotion JPEG (MJPEG) formats.

In some embodiments, graphics processor 300 includes a block imagetransfer (BLIT) engine 304 to perform two-dimensional (2D) rasterizeroperations including, for example, bit-boundary block transfers.However, in one embodiment, 2D graphics operations are performed usingone or more components of graphics processing engine (GPE) 310. In someembodiments, graphics processing engine 310 is a compute engine forperforming graphics operations, including three-dimensional (3D)graphics operations and media operations.

In some embodiments, GPE 310 includes a 3D pipeline 312 for performing3D operations, such as rendering three-dimensional images and scenesusing processing functions that act upon 3D primitive shapes (e.g.,rectangle, triangle, etc.). The 3D pipeline 312 includes programmableand fixed function elements that perform various tasks within theelement and/or spawn execution threads to a 3D/Media sub-system 315.While 3D pipeline 312 can be used to perform media operations, anembodiment of GPE 310 also includes a media pipeline 316 that isspecifically used to perform media operations, such as videopost-processing and image enhancement.

In some embodiments, media pipeline 316 includes fixed function orprogrammable logic units to perform one or more specialized mediaoperations, such as video decode acceleration, video de-interlacing, andvideo encode acceleration in place of, or on behalf of video codecengine 306. In some embodiments, media pipeline 316 additionallyincludes a thread spawning unit to spawn threads for execution on3D/Media sub-system 315. The spawned threads perform computations forthe media operations on one or more graphics execution units included in3D/Media sub-system 315.

In some embodiments, 3D/Media subsystem 315 includes logic for executingthreads spawned by 3D pipeline 312 and media pipeline 316. In oneembodiment, the pipelines send thread execution requests to 3D/Mediasubsystem 315, which includes thread dispatch logic for arbitrating anddispatching the various requests to available thread executionresources. The execution resources include an array of graphicsexecution units to process the 3D and media threads. In someembodiments, 3D/Media subsystem 315 includes one or more internal cachesfor thread instructions and data. In some embodiments, the subsystemalso includes shared memory, including registers and addressable memory,to share data between threads and to store output data.

3D/Media Processing

FIG. 4 is a block diagram of a graphics processing engine 410 of agraphics processor in accordance with some embodiments. In oneembodiment, the GPE 410 is a version of the GPE 310 shown in FIG. 3.Elements of FIG. 4 having the same reference numbers (or names) as theelements of any other figure herein can operate or function in anymanner similar to that described elsewhere herein, but are not limitedto such.

In some embodiments, GPE 410 couples with a command streamer 403, whichprovides a command stream to the GPE 3D and media pipelines 412, 416. Insome embodiments, command streamer 403 is coupled to memory, which canbe system memory, or one or more of internal cache memory and sharedcache memory. In some embodiments, command streamer 403 receivescommands from the memory and sends the commands to 3D pipeline 412and/or media pipeline 416. The commands are directives fetched from aring buffer, which stores commands for the 3D and media pipelines 412,416. In one embodiment, the ring buffer can additionally include batchcommand buffers storing batches of multiple commands. The 3D and mediapipelines 412, 416 process the commands by performing operations vialogic within the respective pipelines or by dispatching one or moreexecution threads to an execution unit array 414. In some embodiments,execution unit array 414 is scalable, such that the array includes avariable number of execution units based on the target power andperformance level of GPE 410.

In some embodiments, a sampling engine 430 couples with memory (e.g.,cache memory or system memory) and execution unit array 414. In someembodiments, sampling engine 430 provides a memory access mechanism forexecution unit array 414 that allows execution array 414 to readgraphics and media data from memory. In some embodiments, samplingengine 430 includes logic to perform specialized image samplingoperations for media.

In some embodiments, the specialized media sampling logic in samplingengine 430 includes a de-noise/de-interlace module 432, a motionestimation module 434, and an image scaling and filtering module 436. Insome embodiments, de-noise/de-interlace module 432 includes logic toperform one or more of a de-noise or a de-interlace algorithm on decodedvideo data. The de-interlace logic combines alternating fields ofinterlaced video content into a single fame of video. The de-noise logicreduces or removes data noise from video and image data. In someembodiments, the de-noise logic and de-interlace logic are motionadaptive and use spatial or temporal filtering based on the amount ofmotion detected in the video data. In some embodiments, thede-noise/de-interlace module 432 includes dedicated motion detectionlogic (e.g., within the motion estimation engine 434).

In some embodiments, motion estimation engine 434 provides hardwareacceleration for video operations by performing video accelerationfunctions such as motion vector estimation and prediction on video data.The motion estimation engine determines motion vectors that describe thetransformation of image data between successive video frames. In someembodiments, a graphics processor media codec uses video motionestimation engine 434 to perform operations on video at the macro-blocklevel that may otherwise be too computationally intensive to performwith a general-purpose processor. In some embodiments, motion estimationengine 434 is generally available to graphics processor components toassist with video decode and processing functions that are sensitive oradaptive to the direction or magnitude of the motion within video data.

In some embodiments, image scaling and filtering module 436 performsimage-processing operations to enhance the visual quality of generatedimages and video. In some embodiments, scaling and filtering module 436processes image and video data during the sampling operation beforeproviding the data to execution unit array 414.

In some embodiments, the GPE 410 includes a data port 444, whichprovides an additional mechanism for graphics subsystems to accessmemory. In some embodiments, data port 444 facilitates memory access foroperations including render target writes, constant buffer reads,scratch memory space reads/writes, and media surface accesses. In someembodiments, data port 444 includes cache memory space to cache accessesto memory. The cache memory can be a single data cache or separated intomultiple caches for the multiple subsystems that access memory via thedata port (e.g., a render buffer cache, a constant buffer cache, etc.).In some embodiments, threads executing on an execution unit in executionunit array 414 communicate with the data port by exchanging messages viaa data distribution interconnect that couples each of the sub-systems ofGPE 410.

Execution Units

FIG. 5 is a block diagram of another embodiment of a graphics processor500. Elements of FIG. 5 having the same reference numbers (or names) asthe elements of any other figure herein can operate or function in anymanner similar to that described elsewhere herein, but are not limitedto such.

In some embodiments, graphics processor 500 includes a ring interconnect502, a pipeline front-end 504, a media engine 537, and graphics cores580A-580N. In some embodiments, ring interconnect 502 couples thegraphics processor to other processing units, including other graphicsprocessors or one or more general-purpose processor cores. In someembodiments, the graphics processor is one of many processors integratedwithin a multi-core processing system.

In some embodiments, graphics processor 500 receives batches of commandsvia ring interconnect 502. The incoming commands are interpreted by acommand streamer 503 in the pipeline front-end 504. In some embodiments,graphics processor 500 includes scalable execution logic to perform 3Dgeometry processing and media processing via the graphics core(s)580A-580N. For 3D geometry processing commands, command streamer 503supplies commands to geometry pipeline 536. For at least some mediaprocessing commands, command streamer 503 supplies the commands to avideo front end 534, which couples with a media engine 537. In someembodiments, media engine 537 includes a Video Quality Engine (VQE) 530for video and image post-processing and a multi-format encode/decode(MFX) 533 engine to provide hardware-accelerated media data encode anddecode. In some embodiments, geometry pipeline 536 and media engine 537each generate execution threads for the thread execution resourcesprovided by at least one graphics core 580A.

In some embodiments, graphics processor 500 includes scalable threadexecution resources featuring modular cores 580A-580N (sometimesreferred to as core slices), each having multiple sub-cores 550A-550N,560A-560N (sometimes referred to as core sub-slices). In someembodiments, graphics processor 500 can have any number of graphicscores 580A through 580N. In some embodiments, graphics processor 500includes a graphics core 580A having at least a first sub-core 550A anda second core sub-core 560A. In other embodiments, the graphicsprocessor is a low power processor with a single sub-core (e.g., 550A).In some embodiments, graphics processor 500 includes multiple graphicscores 580A-580N, each including a set of first sub-cores 550A-550N and aset of second sub-cores 560A-560N. Each sub-core in the set of firstsub-cores 550A-550N includes at least a first set of execution units552A-552N and media/texture samplers 554A-554N. Each sub-core in the setof second sub-cores 560A-560N includes at least a second set ofexecution units 562A-562N and samplers 564A-564N. In some embodiments,each sub-core 550A-550N, 560A-560N shares a set of shared resources570A-570N. In some embodiments, the shared resources include sharedcache memory and pixel operation logic. Other shared resources may alsobe included in the various embodiments of the graphics processor.

FIG. 6 illustrates thread execution logic 600 including an array ofprocessing elements employed in some embodiments of a GPE. Elements ofFIG. 6 having the same reference numbers (or names) as the elements ofany other figure herein can operate or function in any manner similar tothat described elsewhere herein, but are not limited to such.

In some embodiments, thread execution logic 600 includes a pixel shader602, a thread dispatcher 604, instruction cache 606, a scalableexecution unit array including a plurality of execution units 608A-608N,a sampler 610, a data cache 612, and a data port 614. In one embodimentthe included components are interconnected via an interconnect fabricthat links to each of the components. In some embodiments, threadexecution logic 600 includes one or more connections to memory, such assystem memory or cache memory, through one or more of instruction cache606, data port 614, sampler 610, and execution unit array 608A-608N. Insome embodiments, each execution unit (e.g. 608A) is an individualvector processor capable of executing multiple simultaneous threads andprocessing multiple data elements in parallel for each thread. In someembodiments, execution unit array 608A-608N includes any numberindividual execution units.

In some embodiments, execution unit array 608A-608N is primarily used toexecute “shader” programs. In some embodiments, the execution units inarray 608A-608N execute an instruction set that includes native supportfor many standard 3D graphics shader instructions, such that shaderprograms from graphics libraries (e.g., Direct 3D and OpenGL) areexecuted with a minimal translation. The execution units support vertexand geometry processing (e.g., vertex programs, geometry programs,vertex shaders), pixel processing (e.g., pixel shaders, fragmentshaders) and general-purpose processing (e.g., compute and mediashaders).

Each execution unit in execution unit array 608A-608N operates on arraysof data elements. The number of data elements is the “execution size,”or the number of channels for the instruction. An execution channel is alogical unit of execution for data element access, masking, and flowcontrol within instructions. The number of channels may be independentof the number of physical Arithmetic Logic Units (ALUs) or FloatingPoint Units (FPUs) for a particular graphics processor. In someembodiments, execution units 608A-608N support integer andfloating-point data types.

The execution unit instruction set includes single instruction multipledata (SIMD) instructions. The various data elements can be stored as apacked data type in a register and the execution unit will process thevarious elements based on the data size of the elements. For example,when operating on a 256-bit wide vector, the 256 bits of the vector arestored in a register and the execution unit operates on the vector asfour separate 64-bit packed data elements (Quad-Word (QW) size dataelements), eight separate 32-bit packed data elements (Double Word (DW)size data elements), sixteen separate 16-bit packed data elements (Word(W) size data elements), or thirty-two separate 8-bit data elements(byte (B) size data elements). However, different vector widths andregister sizes are possible.

One or more internal instruction caches (e.g., 606) are included in thethread execution logic 600 to cache thread instructions for theexecution units. In some embodiments, one or more data caches (e.g.,612) are included to cache thread data during thread execution. In someembodiments, sampler 610 is included to provide texture sampling for 3Doperations and media sampling for media operations. In some embodiments,sampler 610 includes specialized texture or media sampling functionalityto process texture or media data during the sampling process beforeproviding the sampled data to an execution unit.

During execution, the graphics and media pipelines send threadinitiation requests to thread execution logic 600 via thread spawningand dispatch logic. In some embodiments, thread execution logic 600includes a local thread dispatcher 604 that arbitrates thread initiationrequests from the graphics and media pipelines and instantiates therequested threads on one or more execution units 608A-608N. For example,the geometry pipeline (e.g., 536 of FIG. 5) dispatches vertexprocessing, tessellation, or geometry processing threads to threadexecution logic 600 (FIG. 6). In some embodiments, thread dispatcher 604can also process runtime thread spawning requests from the executingshader programs.

Once a group of geometric objects has been processed and rasterized intopixel data, pixel shader 602 is invoked to further compute outputinformation and cause results to be written to output surfaces (e.g.,color buffers, depth buffers, stencil buffers, etc.). In someembodiments, pixel shader 602 calculates the values of the variousvertex attributes that are to be interpolated across the rasterizedobject. In some embodiments, pixel shader 602 then executes anapplication programming interface (API)-supplied pixel shader program.To execute the pixel shader program, pixel shader 602 dispatches threadsto an execution unit (e.g., 608A) via thread dispatcher 604. In someembodiments, pixel shader 602 uses texture sampling logic in sampler 610to access texture data in texture maps stored in memory. Arithmeticoperations on the texture data and the input geometry data compute pixelcolor data for each geometric fragment, or discards one or more pixelsfrom further processing.

In some embodiments, the data port 614 provides a memory accessmechanism for the thread execution logic 600 output processed data tomemory for processing on a graphics processor output pipeline. In someembodiments, the data port 614 includes or couples to one or more cachememories (e.g., data cache 612) to cache data for memory access via thedata port.

FIG. 7 is a block diagram illustrating a graphics processor instructionformats 700 according to some embodiments. In one or more embodiment,the graphics processor execution units support an instruction set havinginstructions in multiple formats. The solid lined boxes illustrate thecomponents that are generally included in an execution unit instruction,while the dashed lines include components that are optional or that areonly included in a sub-set of the instructions. In some embodiments,instruction format 700 described and illustrated are macro-instructions,in that they are instructions supplied to the execution unit, as opposedto micro-operations resulting from instruction decode once theinstruction is processed.

In some embodiments, the graphics processor execution units nativelysupport instructions in a 128-bit format 710. A 64-bit compactedinstruction format 730 is available for some instructions based on theselected instruction, instruction options, and number of operands. Thenative 128-bit format 710 provides access to all instruction options,while some options and operations are restricted in the 64-bit format730. The native instructions available in the 64-bit format 730 vary byembodiment. In some embodiments, the instruction is compacted in partusing a set of index values in an index field 713. The execution unithardware references a set of compaction tables based on the index valuesand uses the compaction table outputs to reconstruct a nativeinstruction in the 128-bit format 710.

For each format, instruction opcode 712 defines the operation that theexecution unit is to perform. The execution units execute eachinstruction in parallel across the multiple data elements of eachoperand. For example, in response to an add instruction the executionunit performs a simultaneous add operation across each color channelrepresenting a texture element or picture element. By default, theexecution unit performs each instruction across all data channels of theoperands. In some embodiments, instruction control field 714 enablescontrol over certain execution options, such as channels selection(e.g., predication) and data channel order (e.g., swizzle). For 128-bitinstructions 710 an exec-size field 716 limits the number of datachannels that will be executed in parallel. In some embodiments,exec-size field 716 is not available for use in the 64-bit compactinstruction format 730.

Some execution unit instructions have up to three operands including twosource operands, src0 722, src1 722, and one destination 718. In someembodiments, the execution units support dual destination instructions,where one of the destinations is implied. Data manipulation instructionscan have a third source operand (e.g., SRC2 724), where the instructionopcode 712 determines the number of source operands. An instruction'slast source operand can be an immediate (e.g., hard-coded) value passedwith the instruction.

In some embodiments, the 128-bit instruction format 710 includes anaccess/address mode information 726 specifying, for example, whetherdirect register addressing mode or indirect register addressing mode isused. When direct register addressing mode is used, the register addressof one or more operands is directly provided by bits in the instruction710.

In some embodiments, the 128-bit instruction format 710 includes anaccess/address mode field 726, which specifies an address mode and/or anaccess mode for the instruction. In one embodiment the access mode todefine a data access alignment for the instruction. Some embodimentssupport access modes including a 16-byte aligned access mode and a1-byte aligned access mode, where the byte alignment of the access modedetermines the access alignment of the instruction operands. Forexample, when in a first mode, the instruction 710 may use byte-alignedaddressing for source and destination operands and when in a secondmode, the instruction 710 may use 16-byte-aligned addressing for allsource and destination operands.

In one embodiment, the address mode portion of the access/address modefield 726 determines whether the instruction is to use direct orindirect addressing. When direct register addressing mode is used bitsin the instruction 710 directly provide the register address of one ormore operands. When indirect register addressing mode is used, theregister address of one or more operands may be computed based on anaddress register value and an address immediate field in theinstruction.

In some embodiments instructions are grouped based on opcode 712bit-fields to simplify Opcode decode 740. For an 8-bit opcode, bits 4,5, and 6 allow the execution unit to determine the type of opcode. Theprecise opcode grouping shown is merely an example. In some embodiments,a move and logic opcode group 742 includes data movement and logicinstructions (e.g., move (mov), compare (cmp)). In some embodiments,move and logic group 742 shares the five most significant bits (MSB),where move (mov) instructions are in the form of 0000xxxxb and logicinstructions are in the form of 0001xxxxb. A flow control instructiongroup 744 (e.g., call, jump (jmp)) includes instructions in the form of0010xxxxb (e.g., 0x20). A miscellaneous instruction group 746 includes amix of instructions, including synchronization instructions (e.g., wait,send) in the form of 0011xxxxb (e.g., 0x30). A parallel math instructiongroup 748 includes component-wise arithmetic instructions (e.g., add,multiply (mul)) in the form of 0100xxxxb (e.g., 0x40). The parallel mathgroup 748 performs the arithmetic operations in parallel across datachannels. The vector math group 750 includes arithmetic instructions(e.g., dp4) in the form of 0101xxxxb (e.g., 0x50). The vector math groupperforms arithmetic such as dot product calculations on vector operands.

Graphics Pipeline

FIG. 8 is a block diagram of another embodiment of a graphics processor800. Elements of FIG. 8 having the same reference numbers (or names) asthe elements of any other figure herein can operate or function in anymanner similar to that described elsewhere herein, but are not limitedto such.

In some embodiments, graphics processor 800 includes a graphics pipeline820, a media pipeline 830, a display engine 840, thread execution logic850, and a render output pipeline 870. In some embodiments, graphicsprocessor 800 is a graphics processor within a multi-core processingsystem that includes one or more general purpose processing cores. Thegraphics processor is controlled by register writes to one or morecontrol registers (not shown) or via commands issued to graphicsprocessor 800 via a ring interconnect 802. In some embodiments, ringinterconnect 802 couples graphics processor 800 to other processingcomponents, such as other graphics processors or general-purposeprocessors. Commands from ring interconnect 802 are interpreted by acommand streamer 803, which supplies instructions to individualcomponents of graphics pipeline 820 or media pipeline 830.

In some embodiments, command streamer 803 directs the operation of avertex fetcher 805 that reads vertex data from memory and executesvertex-processing commands provided by command streamer 803. In someembodiments, vertex fetcher 805 provides vertex data to a vertex shader807, which performs coordinate space transformation and lightingoperations to each vertex. In some embodiments, vertex fetcher 805 andvertex shader 807 execute vertex-processing instructions by dispatchingexecution threads to execution units 852A, 852B via a thread dispatcher831.

In some embodiments, execution units 852A, 852B are an array of vectorprocessors having an instruction set for performing graphics and mediaoperations. In some embodiments, execution units 852A, 852B have anattached L1 cache 851 that is specific for each array or shared betweenthe arrays. The cache can be configured as a data cache, an instructioncache, or a single cache that is partitioned to contain data andinstructions in different partitions.

In some embodiments, graphics pipeline 820 includes tessellationcomponents to perform hardware-accelerated tessellation of 3D objects.In some embodiments, a programmable hull shader 811 configures thetessellation operations. A programmable domain shader 817 providesback-end evaluation of tessellation output. A tessellator 813 operatesat the direction of hull shader 811 and contains special purpose logicto generate a set of detailed geometric objects based on a coarsegeometric model that is provided as input to graphics pipeline 820. Insome embodiments, if tessellation is not used, tessellation components811, 813, 817 can be bypassed.

In some embodiments, complete geometric objects can be processed by ageometry shader 819 via one or more threads dispatched to executionunits 852A, 852B, or can proceed directly to the clipper 829. In someembodiments, the geometry shader operates on entire geometric objects,rather than vertices or patches of vertices as in previous stages of thegraphics pipeline. If the tessellation is disabled the geometry shader819 receives input from the vertex shader 807. In some embodiments,geometry shader 819 is programmable by a geometry shader program toperform geometry tessellation if the tessellation units are disabled.0010xxxxb (e.g., 0x20). Before rasterization, a clipper 829 processesvertex data. The clipper 829 may be a fixed function clipper or aprogrammable clipper having clipping and geometry shader functions. Insome embodiments, a rasterizer and depth test component 873 in therender output pipeline 870 dispatches pixel shaders to convert thegeometric objects into their per pixel representations. In someembodiments, pixel shader logic is included in thread execution logic850. In some embodiments, an application can bypass the rasterizer 873and access un-rasterized vertex data via a stream out unit 823.

The graphics processor 800 has an interconnect bus, interconnect fabric,or some other interconnect mechanism that allows data and messagepassing amongst the major components of the processor. In someembodiments, execution units 852A, 852B and associated cache(s) 851,texture and media sampler 854, and texture/sampler cache 858interconnect via a data port 856 to perform memory access andcommunicate with render output pipeline components of the processor. Insome embodiments, sampler 854, caches 851, 858 and execution units 852A,852B each have separate memory access paths.

In some embodiments, render output pipeline 870 contains a rasterizerand depth test component 873 that converts vertex-based objects into anassociated pixel-based representation. In some embodiments, therasterizer logic includes a windower/masker unit to perform fixedfunction triangle and line rasterization. An associated render cache 878and depth cache 879 are also available in some embodiments. A pixeloperations component 877 performs pixel-based operations on the data,though in some instances, pixel operations associated with 2D operations(e.g. bit block image transfers with blending) are performed by the 2Dengine 841, or substituted at display time by the display controller 843using overlay display planes. In some embodiments, a shared L3 cache 875is available to all graphics components, allowing the sharing of datawithout the use of main system memory.

In some embodiments, graphics processor media pipeline 830 includes amedia engine 837 and a video front end 834. In some embodiments, videofront end 834 receives pipeline commands from the command streamer 803.In some embodiments, media pipeline 830 includes a separate commandstreamer. In some embodiments, video front-end 834 processes mediacommands before sending the command to the media engine 837. In someembodiments, media engine 337 includes thread spawning functionality tospawn threads for dispatch to thread execution logic 850 via threaddispatcher 831.

In some embodiments, graphics processor 800 includes a display engine840. In some embodiments, display engine 840 is external to processor800 and couples with the graphics processor via the ring interconnect802, or some other interconnect bus or fabric. In some embodiments,display engine 840 includes a 2D engine 841 and a display controller843. In some embodiments, display engine 840 contains special purposelogic capable of operating independently of the 3D pipeline. In someembodiments, display controller 843 couples with a display device (notshown), which may be a system integrated display device, as in a laptopcomputer, or an external display device attached via a display deviceconnector.

In some embodiments, graphics pipeline 820 and media pipeline 830 areconfigurable to perform operations based on multiple graphics and mediaprogramming interfaces and are not specific to any one applicationprogramming interface (API). In some embodiments, driver software forthe graphics processor translates API calls that are specific to aparticular graphics or media library into commands that can be processedby the graphics processor. In some embodiments, support is provided forthe Open Graphics Library (OpenGL) and Open Computing Language (OpenCL)from the Khronos Group, the Direct3D library from the MicrosoftCorporation, or support may be provided to both OpenGL and D3D. Supportmay also be provided for the Open Source Computer Vision Library(OpenCV). A future API with a compatible 3D pipeline would also besupported if a mapping can be made from the pipeline of the future APIto the pipeline of the graphics processor.

Graphics Pipeline Programming

FIG. 9A is a block diagram illustrating a graphics processor commandformat 900 according to some embodiments. FIG. 9B is a block diagramillustrating a graphics processor command sequence 910 according to anembodiment. The solid lined boxes in FIG. 9A illustrate the componentsthat are generally included in a graphics command while the dashed linesinclude components that are optional or that are only included in asub-set of the graphics commands. The exemplary graphics processorcommand format 900 of FIG. 9A includes data fields to identify a targetclient 902 of the command, a command operation code (opcode) 904, andthe relevant data 906 for the command. A sub-opcode 905 and a commandsize 908 are also included in some commands.

In some embodiments, client 902 specifies the client unit of thegraphics device that processes the command data. In some embodiments, agraphics processor command parser examines the client field of eachcommand to condition the further processing of the command and route thecommand data to the appropriate client unit. In some embodiments, thegraphics processor client units include a memory interface unit, arender unit, a 2D unit, a 3D unit, and a media unit. Each client unithas a corresponding processing pipeline that processes the commands.Once the command is received by the client unit, the client unit readsthe opcode 904 and, if present, sub-opcode 905 to determine theoperation to perform. The client unit performs the command usinginformation in data field 906. For some commands an explicit commandsize 908 is expected to specify the size of the command. In someembodiments, the command parser automatically determines the size of atleast some of the commands based on the command opcode. In someembodiments commands are aligned via multiples of a double word.

The flow diagram in FIG. 9B shows an exemplary graphics processorcommand sequence 910. In some embodiments, software or firmware of adata processing system that features an embodiment of a graphicsprocessor uses a version of the command sequence shown to set up,execute, and terminate a set of graphics operations. A sample commandsequence is shown and described for purposes of example only asembodiments are not limited to these specific commands or to thiscommand sequence. Moreover, the commands may be issued as batch ofcommands in a command sequence, such that the graphics processor willprocess the sequence of commands in at least partially concurrence.

In some embodiments, the graphics processor command sequence 910 maybegin with a pipeline flush command 912 to cause any active graphicspipeline to complete the currently pending commands for the pipeline. Insome embodiments, the 3D pipeline 922 and the media pipeline 924 do notoperate concurrently. The pipeline flush is performed to cause theactive graphics pipeline to complete any pending commands. In responseto a pipeline flush, the command parser for the graphics processor willpause command processing until the active drawing engines completepending operations and the relevant read caches are invalidated.Optionally, any data in the render cache that is marked ‘dirty’ can beflushed to memory. In some embodiments, pipeline flush command 912 canbe used for pipeline synchronization or before placing the graphicsprocessor into a low power state.

In some embodiments, a pipeline select command 913 is used when acommand sequence requires the graphics processor to explicitly switchbetween pipelines. In some embodiments, a pipeline select command 913 isrequired only once within an execution context before issuing pipelinecommands unless the context is to issue commands for both pipelines. Insome embodiments, a pipeline flush command is 912 is requiredimmediately before a pipeline switch via the pipeline select command913.

In some embodiments, a pipeline control command 914 configures agraphics pipeline for operation and is used to program the 3D pipeline922 and the media pipeline 924. In some embodiments, pipeline controlcommand 914 configures the pipeline state for the active pipeline. Inone embodiment, the pipeline control command 914 is used for pipelinesynchronization and to clear data from one or more cache memories withinthe active pipeline before processing a batch of commands.

In some embodiments, return buffer state commands 916 are used toconfigure a set of return buffers for the respective pipelines to writedata. Some pipeline operations require the allocation, selection, orconfiguration of one or more return buffers into which the operationswrite intermediate data during processing. In some embodiments, thegraphics processor also uses one or more return buffers to store outputdata and to perform cross thread communication. In some embodiments, thereturn buffer state 916 includes selecting the size and number of returnbuffers to use for a set of pipeline operations.

The remaining commands in the command sequence differ based on theactive pipeline for operations. Based on a pipeline determination 920,the command sequence is tailored to the 3D pipeline 922 beginning withthe 3D pipeline state 930, or the media pipeline 924 beginning at themedia pipeline state 940.

The commands for the 3D pipeline state 930 include 3D state settingcommands for vertex buffer state, vertex element state, constant colorstate, depth buffer state, and other state variables that are to beconfigured before 3D primitive commands are processed. The values ofthese commands are determined at least in part based the particular 3DAPI in use. In some embodiments, 3D pipeline state 930 commands are alsoable to selectively disable or bypass certain pipeline elements if thoseelements will not be used.

In some embodiments, 3D primitive 932 command is used to submit 3Dprimitives to be processed by the 3D pipeline. Commands and associatedparameters that are passed to the graphics processor via the 3Dprimitive 932 command are forwarded to the vertex fetch function in thegraphics pipeline. The vertex fetch function uses the 3D primitive 932command data to generate vertex data structures. The vertex datastructures are stored in one or more return buffers. In someembodiments, 3D primitive 932 command is used to perform vertexoperations on 3D primitives via vertex shaders. To process vertexshaders, 3D pipeline 922 dispatches shader execution threads to graphicsprocessor execution units.

In some embodiments, 3D pipeline 922 is triggered via an execute 934command or event. In some embodiments, a register write triggers commandexecution. In some embodiments execution is triggered via a ‘go’ or‘kick’ command in the command sequence. In one embodiment commandexecution is triggered using a pipeline synchronization command to flushthe command sequence through the graphics pipeline. The 3D pipeline willperform geometry processing for the 3D primitives. Once operations arecomplete, the resulting geometric objects are rasterized and the pixelengine colors the resulting pixels. Additional commands to control pixelshading and pixel back end operations may also be included for thoseoperations.

In some embodiments, the graphics processor command sequence 910 followsthe media pipeline 924 path when performing media operations. Ingeneral, the specific use and manner of programming for the mediapipeline 924 depends on the media or compute operations to be performed.Specific media decode operations may be offloaded to the media pipelineduring media decode. In some embodiments, the media pipeline can also bebypassed and media decode can be performed in whole or in part usingresources provided by one or more general purpose processing cores. Inone embodiment, the media pipeline also includes elements forgeneral-purpose graphics processor unit (GPGPU) operations, where thegraphics processor is used to perform SIMD vector operations usingcomputational shader programs that are not explicitly related to therendering of graphics primitives.

In some embodiments, media pipeline 924 is configured in a similarmanner as the 3D pipeline 922. A set of media pipeline state commands940 are dispatched or placed into in a command queue before the mediaobject commands 942. In some embodiments, media pipeline state commands940 include data to configure the media pipeline elements that will beused to process the media objects. This includes data to configure thevideo decode and video encode logic within the media pipeline, such asencode or decode format. In some embodiments, media pipeline statecommands 940 also support the use one or more pointers to “indirect”state elements that contain a batch of state settings.

In some embodiments, media object commands 942 supply pointers to mediaobjects for processing by the media pipeline. The media objects includememory buffers containing video data to be processed. In someembodiments, all media pipeline states must be valid before issuing amedia object command 942. Once the pipeline state is configured andmedia object commands 942 are queued, the media pipeline 924 istriggered via an execute command 944 or an equivalent execute event(e.g., register write). Output from media pipeline 924 may then be postprocessed by operations provided by the 3D pipeline 922 or the mediapipeline 924. In some embodiments, GPGPU operations are configured andexecuted in a similar manner as media operations.

Graphics Software Architecture

FIG. 10 illustrates exemplary graphics software architecture for a dataprocessing system 1000 according to some embodiments. In someembodiments, software architecture includes a 3D graphics application1010, an operating system 1020, and at least one processor 1030. In someembodiments, processor 1030 includes a graphics processor 1032 and oneor more general-purpose processor core(s) 1034. The graphics application1010 and operating system 1020 each execute in the system memory 1050 ofthe data processing system.

In some embodiments, 3D graphics application 1010 contains one or moreshader programs including shader instructions 1012. The shader languageinstructions may be in a high-level shader language, such as the HighLevel Shader Language (HLSL) or the OpenGL Shader Language (GLSL). Theapplication also includes executable instructions 1014 in a machinelanguage suitable for execution by the general-purpose processor core1034. The application also includes graphics objects 1016 defined byvertex data.

In some embodiments, operating system 1020 is a Microsoft® Windows®operating system from the Microsoft Corporation, a proprietary UNIX-likeoperating system, or an open source UNIX-like operating system using avariant of the Linux kernel. When the Direct3D API is in use, theoperating system 1020 uses a front-end shader compiler 1024 to compileany shader instructions 1012 in HLSL into a lower-level shader language.The compilation may be a just-in-time (JIT) compilation or theapplication can perform shader pre-compilation. In some embodiments,high-level shaders are compiled into low-level shaders during thecompilation of the 3D graphics application 1010.

In some embodiments, user mode graphics driver 1026 contains a back-endshader compiler 1027 to convert the shader instructions 1012 into ahardware specific representation. When the OpenGL API is in use, shaderinstructions 1012 in the GLSL high-level language are passed to a usermode graphics driver 1026 for compilation. In some embodiments, usermode graphics driver 1026 uses operating system kernel mode functions1028 to communicate with a kernel mode graphics driver 1029. In someembodiments, kernel mode graphics driver 1029 communicates with graphicsprocessor 1032 to dispatch commands and instructions.

IP Core Implementations

One or more aspects of at least one embodiment may be implemented byrepresentative code stored on a machine-readable medium which representsand/or defines logic within an integrated circuit such as a processor.For example, the machine-readable medium may include instructions whichrepresent various logic within the processor. When read by a machine,the instructions may cause the machine to fabricate the logic to performthe techniques described herein. Such representations, known as “IPcores,” are reusable units of logic for an integrated circuit that maybe stored on a tangible, machine-readable medium as a hardware modelthat describes the structure of the integrated circuit. The hardwaremodel may be supplied to various customers or manufacturing facilities,which load the hardware model on fabrication machines that manufacturethe integrated circuit. The integrated circuit may be fabricated suchthat the circuit performs operations described in association with anyof the embodiments described herein.

FIG. 11 is a block diagram illustrating an IP core development system1100 that may be used to manufacture an integrated circuit to performoperations according to an embodiment. The IP core development system1100 may be used to generate modular, re-usable designs that can beincorporated into a larger design or used to construct an entireintegrated circuit (e.g., an SOC integrated circuit). A design facility1130 can generate a software simulation 1110 of an IP core design in ahigh level programming language (e.g., C/C++). The software simulation1110 can be used to design, test, and verify the behavior of the IPcore. A register transfer level (RTL) design can then be created orsynthesized from the simulation model 1100. The RTL design 1115 is anabstraction of the behavior of the integrated circuit that models theflow of digital signals between hardware registers, including theassociated logic performed using the modeled digital signals. Inaddition to an RTL design 1115, lower-level designs at the logic levelor transistor level may also be created, designed, or synthesized. Thus,the particular details of the initial design and simulation may vary.

The RTL design 1115 or equivalent may be further synthesized by thedesign facility into a hardware model 1120, which may be in a hardwaredescription language (HDL), or some other representation of physicaldesign data. The HDL may be further simulated or tested to verify the IPcore design. The IP core design can be stored for delivery to a 3^(rd)party fabrication facility 1165 using non-volatile memory 1140 (e.g.,hard disk, flash memory, or any non-volatile storage medium).Alternatively, the IP core design may be transmitted (e.g., via theInternet) over a wired connection 1150 or wireless connection 1160. Thefabrication facility 1165 may then fabricate an integrated circuit thatis based at least in part on the IP core design. The fabricatedintegrated circuit can be configured to perform operations in accordancewith at least one embodiment described herein.

FIG. 12 is a block diagram illustrating an exemplary system on a chipintegrated circuit 1200 that may be fabricated using one or more IPcores, according to an embodiment. The exemplary integrated circuitincludes one or more application processors 1205 (e.g., CPUs), at leastone graphics processor 1210, and may additionally include an imageprocessor 1215 and/or a video processor 1220, any of which may be amodular IP core from the same or multiple different design facilities.The integrated circuit includes peripheral or bus logic including a USBcontroller 1225, UART controller 1230, an SPI/SDIO controller 1235, andan I²S/I²C controller 1240. Additionally, the integrated circuit caninclude a display device 1245 coupled to one or more of ahigh-definition multimedia interface (HDMI) controller 1250 and a mobileindustry processor interface (MIPI) display interface 1255. Storage maybe provided by a flash memory subsystem 1260 including flash memory anda flash memory controller. Memory interface may be provided via a memorycontroller 1265 for access to SDRAM or SRAM memory devices. Someintegrated circuits additionally include an embedded security engine1270.

Additionally, other logic and circuits may be included in the processorof integrated circuit 1200, including additional graphicsprocessors/cores, peripheral interface controllers, or general purposeprocessor cores.

FIG. 13 illustrates a computing device 1300 employing a colorcompensation mechanism 1300 according to one embodiment. Computingdevice 1300 (e.g., mobile computer, laptop computer, desktop computer,etc.) may be the same as data processing system 100 of FIG. 1 andaccordingly, for brevity and ease of understanding, many of the detailsstated above with reference to FIGS. 1-12 are not further discussed orrepeated hereafter. For example, computing device 1300 may include amobile computer (e.g., smartphone, tablet computer, laptops, gameconsoles, portable workstations, smart glasses and other smart wearabledevices, etc.) serving as a host machine for hosting color compensationmechanism (“color mechanism”) 1310.

Color mechanism 1310 may include any number and type of components forfacilitating ambient color-based real-time compensation of displaycontents according to one embodiment. Throughout the document, the term“user” may be interchangeably referred to as “viewer”, “observer”,“person”, “individual”, “end-user”, and/or the like. It is to be notedthat throughout this document, terms like “graphics domain” may bereferenced interchangeably with “graphics processing unit” or simply“GPU” and similarly, “CPU domain” or “host domain” may be referencedinterchangeably with “computer processing unit” or simply “CPU”.

Computing device 1300 may include any number and type of communicationdevices, such as large computing systems, such as server computers,desktop computers, etc., and may further include set-top boxes (e.g.,Internet-based cable television set-top boxes, etc.), global positioningsystem (GPS)-based devices, etc. Computing device 1300 may includemobile computing devices serving as communication devices, such ascellular phones including smartphones, personal digital assistants(PDAs), tablet computers, laptop computers, e-readers, smarttelevisions, television platforms, wearable devices (e.g., glasses,watches, bracelets, smartcards, jewelry, clothing items, etc.), mediaplayers, etc. For example, in one embodiment, computing device 1300 mayinclude a mobile computing device employing an integrated circuit(“IC”), such as system on a chip (“SoC” or “SOC”), integrating varioushardware and/or software components of computing device 1300 on a singlechip.

As illustrated, in one embodiment, in addition to employing colormechanism 1310, computing device 1300 may further include any number andtype of hardware components and/or software components, such as (but notlimited to) GPU 1314 (having driver logic 1316), CPU 1312, memory 1308,network devices, drivers, or the like, as well as input/output (I/O)sources 1304, such as touchscreens, touch panels, touch pads, virtual orregular keyboards, virtual or regular mice, ports, connectors, etc.Computing device 1300 may include operating system (OS) 1306 serving asan interface between hardware and/or physical resources of the computerdevice 1300 and a user. It is contemplated that CPU 1312 may include oneor processors, such as processor(s) 102 of FIG. 1, while GPU 1314 mayinclude one or more graphics processors, such as graphics processor(s)108 of FIG. 1. In one embodiment and as will be further descried withreference to the subsequent figures, color mechanism 1310 may be incommunication with its host driver logic 1316 which cooperates with GPU1314 to facilitate any number and type of tasks facilitating generationand rendering of virtual 3D images as is described through thisdocument.

It is to be noted that terms like “node”, “computing node”, “server”,“server device”, “cloud computer”, “cloud server”, “cloud servercomputer”, “machine”, “host machine”, “device”, “computing device”,“computer”, “computing system”, and the like, may be usedinterchangeably throughout this document. It is to be further noted thatterms like “application”, “software application”, “program”, “softwareprogram”, “package”, “software package”, and the like, may be usedinterchangeably throughout this document. Also, terms like “job”,“input”, “request”, “message”, and the like, may be used interchangeablythroughout this document.

It is contemplated and as further described with reference to FIGS.1-12, some processes of the graphics pipeline as described above areimplemented in software, while the rest are implemented in hardware. Agraphics pipeline may be implemented in a graphics coprocessor design,where CPU 1312 is designed to work with GPU 1314 which may be includedin or co-located with CPU 1312. In one embodiment, GPU 1314 may employany number and type of conventional software and hardware logic toperform the conventional functions relating to graphics rendering aswell as novel software and hardware logic to execute any number and typeof instructions, such as instructions 121 of FIG. 1, to perform thevarious novel functions of color mechanism 1310 as disclosed throughoutthis document.

As aforementioned, memory 1308 may include a random access memory (RAM)comprising application database having object information. A memorycontroller hub, such as memory controller hub 116 of FIG. 1, may accessdata in the RAM and forward it to GPU 1314 for graphics pipelineprocessing. RAM may include double data rate RAM (DDR RAM), extendeddata output RAM (EDO RAM), etc. CPU 1312 interacts with a hardwaregraphics pipeline, as illustrated with reference to FIG. 3, to sharegraphics pipelining functionality. Processed data is stored in a bufferin the hardware graphics pipeline, and state information is stored inmemory 1308. The resulting image is then transferred to I/O sources1304, such as a display component, such as display device 320 of FIG. 3,for displaying of the image. It is contemplated that the display devicemay be of various types, such as Cathode Ray Tube (CRT), Thin FilmTransistor (TFT), Liquid Crystal Display (LCD), Organic Light EmittingDiode (OLED) array, etc., to display information to a user.

Memory 1308 may comprise a pre-allocated region of a buffer (e.g., framebuffer); however, it should be understood by one of ordinary skill inthe art that the embodiments are not so limited, and that any memoryaccessible to the lower graphics pipeline may be used. Computing device1300 may further include input/output (I/O) control hub (ICH) 130 asreferenced in FIG. 1, one or more I/O sources 1304, etc.

CPU 1312 may include one or more processors to execute instructions inorder to perform whatever software routines the computing systemimplements. The instructions frequently involve some sort of operationperformed upon data. Both data and instructions may be stored in systemmemory 1308 and any associated cache. Cache is typically designed tohave shorter latency times than system memory 1308; for example, cachemight be integrated onto the same silicon chip(s) as the processor(s)and/or constructed with faster static RAM (SRAM) cells whilst the systemmemory 1308 might be constructed with slower dynamic RAM (DRAM) cells.By tending to store more frequently used instructions and data in thecache as opposed to the system memory 1308, the overall performanceefficiency of computing device 1300 improves. It is contemplated that insome embodiments, GPU 1314 may exist as part of CPU 1312 (such as partof a physical CPU package) in which case, memory 1308 may be shared byCPU 1312 and GPU 1314 or kept separated.

System memory 1308 may be made available to other components within thecomputing device 1300. For example, any data (e.g., input graphics data)received from various interfaces to the computing device 1300 (e.g.,keyboard and mouse, printer port, Local Area Network (LAN) port, modemport, etc.) or retrieved from an internal storage element of thecomputer device 1300 (e.g., hard disk drive) are often temporarilyqueued into system memory 1308 prior to their being operated upon by theone or more processor(s) in the implementation of a software program.Similarly, data that a software program determines should be sent fromthe computing device 1300 to an outside entity through one of thecomputing system interfaces, or stored into an internal storage element,is often temporarily queued in system memory 1308 prior to its beingtransmitted or stored.

Further, for example, an ICH, such as ICH 130 of FIG. 1, may be used forensuring that such data is properly passed between the system memory1308 and its appropriate corresponding computing system interface (andinternal storage device if the computing system is so designed) and mayhave bi-directional point-to-point links between itself and the observedI/O sources/devices 1304. Similarly, an MCH, such as MCH 116 of FIG. 1,may be used for managing the various contending requests for systemmemory 1308 accesses amongst CPU 1312 and GPU 1314, interfaces andinternal storage elements that may proximately arise in time withrespect to one another.

I/O sources 1304 may include one or more I/O devices that areimplemented for transferring data to and/or from computing device 1300(e.g., a networking adapter); or, for a large scale non-volatile storagewithin computing device 1300 (e.g., hard disk drive). User input device,including alphanumeric and other keys, may be used to communicateinformation and command selections to GPU 1314. Another type of userinput device is cursor control, such as a mouse, a trackball, atouchscreen, a touchpad, or cursor direction keys to communicatedirection information and command selections to GPU 1314 and to controlcursor movement on the display device. Camera and microphone arrays ofcomputer device 1300 may be employed to observe gestures, record audioand video and to receive and transmit visual and audio commands.

Computing device 1300 may further include network interface(s) toprovide access to a network, such as a LAN, a wide area network (WAN), ametropolitan area network (MAN), a personal area network (PAN),Bluetooth, a cloud network, a mobile network (e.g., 3^(rd) Generation(3G), etc.), an intranet, the Internet, etc. Network interface(s) mayinclude, for example, a wireless network interface having antenna, whichmay represent one or more antenna(e). Network interface(s) may alsoinclude, for example, a wired network interface to communicate withremote devices via network cable, which may be, for example, an Ethernetcable, a coaxial cable, a fiber optic cable, a serial cable, or aparallel cable.

Network interface(s) may provide access to a LAN, for example, byconforming to IEEE 802.11b and/or IEEE 802.11g standards, and/or thewireless network interface may provide access to a personal areanetwork, for example, by conforming to Bluetooth standards. Otherwireless network interfaces and/or protocols, including previous andsubsequent versions of the standards, may also be supported. In additionto, or instead of, communication via the wireless LAN standards, networkinterface(s) may provide wireless communication using, for example, TimeDivision, Multiple Access (TDMA) protocols, Global Systems for MobileCommunications (GSM) protocols, Code Division, Multiple Access (CDMA)protocols, and/or any other type of wireless communications protocols.

Network interface(s) may include one or more communication interfaces,such as a modem, a network interface card, or other well-known interfacedevices, such as those used for coupling to the Ethernet, token ring, orother types of physical wired or wireless attachments for purposes ofproviding a communication link to support a LAN or a WAN, for example.In this manner, the computer system may also be coupled to a number ofperipheral devices, clients, control surfaces, consoles, or servers viaa conventional network infrastructure, including an Intranet or theInternet, for example.

It is to be appreciated that a lesser or more equipped system than theexample described above may be preferred for certain implementations.Therefore, the configuration of computing device 1300 may vary fromimplementation to implementation depending upon numerous factors, suchas price constraints, performance requirements, technologicalimprovements, or other circumstances. Examples of the electronic deviceor computer system 1300 may include (without limitation) a mobiledevice, a personal digital assistant, a mobile computing device, asmartphone, a cellular telephone, a handset, a one-way pager, a two-waypager, a messaging device, a computer, a personal computer (PC), adesktop computer, a laptop computer, a notebook computer, a handheldcomputer, a tablet computer, a server, a server array or server farm, aweb server, a network server, an Internet server, a work station, amini-computer, a main frame computer, a supercomputer, a networkappliance, a web appliance, a distributed computing system,multiprocessor systems, processor-based systems, consumer electronics,programmable consumer electronics, television, digital television, settop box, wireless access point, base station, subscriber station, mobilesubscriber center, radio network controller, router, hub, gateway,bridge, switch, machine, or combinations thereof.

Embodiments may be implemented as any or a combination of: one or moremicrochips or integrated circuits interconnected using a parentboard,hardwired logic, software stored by a memory device and executed by amicroprocessor, firmware, an application specific integrated circuit(ASIC), and/or a field programmable gate array (FPGA). The term “logic”may include, by way of example, software or hardware and/or combinationsof software and hardware.

Embodiments may be provided, for example, as a computer program productwhich may include one or more machine-readable media having storedthereon machine-executable instructions that, when executed by one ormore machines such as a computer, network of computers, or otherelectronic devices, may result in the one or more machines carrying outoperations in accordance with embodiments described herein. Amachine-readable medium may include, but is not limited to, floppydiskettes, optical disks, CD-ROMs (Compact Disc-Read Only Memories), andmagneto-optical disks, ROMs, RAMs, EPROMs (Erasable Programmable ReadOnly Memories), EEPROMs (Electrically Erasable Programmable Read OnlyMemories), magnetic or optical cards, flash memory, or other type ofmedia/machine-readable medium suitable for storing machine-executableinstructions.

Moreover, embodiments may be downloaded as a computer program product,wherein the program may be transferred from a remote computer (e.g., aserver) to a requesting computer (e.g., a client) by way of one or moredata signals embodied in and/or modulated by a carrier wave or otherpropagation medium via a communication link (e.g., a modem and/ornetwork connection).

FIG. 14 illustrates a color compensation mechanism 1310 according to oneembodiment. In one embodiment, color mechanism 1310 may include anynumber and type of components to perform various tasks relating todynamic and real-time compensation for environmental light colors indisplay contents for providing better viewing of such display contentsat computing devices, such as computing device 1300 of FIG. 13. Forexample and in one embodiment, color mechanism 1310 may include anynumber and type of components, such as (without limitation)reception/detection logic 1401, triggering and monitoring logic 1403,evaluation and reference logic 1405, adaption logic 1407, renderinglogic 1409, and communication/compatibility logic 1411.

As an initial matter, it is contemplated and to be noted that in oneembodiment, as illustrated with reference to FIG. 15A, color mechanism1310 may be hosted by graphics driver logic, such as driver logic 1316,of a GPU, such as GPU 1314, of FIG. 13, while, in another embodiment,color mechanism 1310 may not be hosted by a GPU, but may be hosted by anoperating system, such as operating system 1306 of FIG. 13. Similarly,in yet another embodiment, as illustrated with reference to FIG. 15B,various functionalities and/or components of color mechanism 1310 may beprovided as one or more hardware components, such as color compensationcomponent 1520, hosted by one or more host components, such as videocontroller 1511, of computing device 1300

Computing device 1300 further includes other components that remain incommunication with color mechanism 1310, such other components include(without limitation): I/O sources 1304 having one or morecapturing/sensing components 1421 (e.g., cameras, camera sensors, RedGreen Blue (RGB) sensors, etc.), one or more output components 1423(e.g., display screens, display devices, telepresence display areas,telepresence projectors, telepresence micro-projectors, etc.), and/orthe like, and input parameters matrix logic (“matrix logic”) 1425.Similarly, I/O sources 1304 may further include any number and type ofother devices, such as optical imaging plates (e.g., Asukanet plate,etc.), power sources, peripheral devices, such as a keyboard, a mouse,etc.

Computing device 1300 may be in communication with one or morerepositories or databases, such as database(s) 1430, to store andmaintain any amount and type of data (e.g., real-time data, historicalcontents, metadata, resources, policies, criteria, rules andregulations, upgrades, etc.). Similarly, as aforementioned, computingdevice 1300 may be in communication with any number and type of othercomputing devices over a communication medium, such as one or morenetworks including (without limitation) Cloud network, the Internet,intranet, Internet of Things (“IoT”), proximity network, and Bluetooth,etc. It is contemplated that embodiments are not limited to anyparticular number or type of communication medium or networks.

Capturing/sensing components 1421 may include any number and type ofcapturing/sensing devices, such as (without limitation) cameras (e.g.,two-dimensional (2D) cameras, three-dimensional (3D) cameras, etc.)having camera sensors, RGB sensors, microphones, vibration components,tactile components, conductance elements, biometric sensors, chemicaldetectors, signal detectors, electroencephalography, functionalnear-infrared spectroscopy, wave detectors, force sensors (e.g.,accelerometers), illuminators, etc.) that may be used for capturing anyamount and type of visual data, such as images (e.g., photos, videos,movies, audio/video streams, etc.), and non-visual data, such as audiostreams (e.g., sound, noise, vibration, ultrasound, etc.), radio waves(e.g., wireless signals, such as wireless signals having data, metadata,signs, etc.), chemical changes or properties (e.g., humidity, bodytemperature, etc.), biometric readings (e.g., figure prints, etc.),brainwaves, brain circulation, environmental/weather conditions, maps,etc. It is contemplated that “sensor”, “detector”, “capturer” and anyvariation thereof, such as “sensing”, “detecting”, “capturing”,respectively, may be referenced interchangeably throughout thisdocument. It is further contemplated that one or more capturing/sensingcomponents 1421 may further include one or more supporting orsupplemental devices for capturing and/or sensing of data, such asilluminators (e.g., infrared (IR) illuminator), light fixtures,generators, sound blockers, etc.

It is further contemplated that in one embodiment, capturing/sensingcomponents 1421 may further include any number and type of sensingdevices or sensors (e.g., linear accelerometer) for sensing or detectingany number and type of contexts (e.g., estimating horizon, linearacceleration, etc., relating to a mobile computing device, etc.). Forexample, capturing/sensing components 1421 may include any number andtype of sensors, such as (without limitations): camera sensors; RGBsensors; accelerometers (e.g., linear accelerometer to measure linearacceleration, etc.); inertial devices (e.g., inertial accelerometers,inertial gyroscopes, micro-electro-mechanical systems (MEMS) gyroscopes,inertial navigators, etc.); and gravity gradiometers to study andmeasure variations in gravitation acceleration due to gravity, etc. Forexample, the aforementioned camera sensors and/or RGB sensors may beused to capture real-time ambient color in the light found in variousenvironments (e.g., indoors, outdoors, etc.) around computing device1300.

Further, capturing/sensing components 1421 may include (withoutlimitations): audio/visual devices (e.g., cameras, microphones,speakers, etc.); context-aware sensors (e.g., temperature sensors,facial expression and feature measurement sensors working with one ormore cameras of audio/visual devices, environment sensors (such as tosense background colors, lights, etc.), biometric sensors (such as todetect fingerprints, etc.), calendar maintenance and reading device),etc.; global positioning system (GPS) sensors; resource requestor; andtrusted execution environment (TEE) logic. TEE logic may be employedseparately or be part of resource requestor and/or an I/O subsystem,etc. Capturing/sensing components 1421 may further include voicerecognition devices, photo recognition devices, facial and other bodyrecognition components, voice-to-text conversion components, etc.

Computing device 1300 may further include one or more output components1423 in communication with one or more capturing/sensing components 1421and one or more components of color mechanism 1310 for detecting, inreal-time, environmental ambient color in light and applying that tofacilitate adaption and compensation of colors in contents that arepresented as display outputs. For example, output components 1423 mayinclude one or more display or telepresence projectors to project arealistic and true 3D virtual image that is capable of floating in theair and while having the depth of a real-life image. Further, outputcomponents 1423 may include tactile effectors as an example ofpresenting visualization of touch, where an embodiment of such may beultrasonic generators that can send signals in space which, whenreaching, for example, human fingers can cause tactile sensation or likefeeling on the fingers. Further, for example and in one embodiment,output components 1423 may include (without limitation) one or more oflight sources, display devices and/or screens (e.g., 2D displays, 3Ddisplays, etc.), audio speakers, tactile components, conductanceelements, bone conducting speakers, olfactory or smell visual and/ornon/visual presentation devices, haptic or touch visual and/ornon-visual presentation devices, animation display devices, biometricdisplay devices, X-ray display devices, etc.

It is contemplated that a user may put computing device 1300 (e.g.,smartphone, tablet computer, etc.) through any number and type ofenvironments, exposing computing device 1300 to the correspondingconditions and changes, such as varying lights and the colors embeddedin them. For example, when playing outdoors, the user may have computingdevice 1300 under direct sunlight projecting warm (lower ° K., where Kis Kelvin, the unit of absolute temperature) and predominantlyred/yellow environmental lights, or when playing indoors under directneon or CFL bulb projecting cool (higher ° K.) and predominantly blueenvironmental lights. In other words, a cool light having cooler colors(e.g., blue, white, etc.) may have color temperatures of 5,000K or more,while a warm light having warmer colors (e.g., yellow, orange, red,etc.) may record color temperatures of 3,000K or less.

In one embodiment, the chromatic (e.g., color) compensation of contentis performed to then be rendered on a display device of outputcomponents 1423 based on input sensor data including environment lightcolor temperatures and other context data detected by and received fromone or more sensors, such as camera sensors, RGB sensors, etc., ofcapturing/sensing components 1421, where such parameters may be receivedat or detected by reception/detection logic 1401. In one embodiment,input sensor data may include environmental/ambient light-relatedcolors, color temperatures, intensity levels, etc. Similarly, in oneembodiment, additional input parameters, such as compensation matrixratio that are programmable by color, as generated by a programminglogic, such as matrix logic 1425, may be received at or detected byreception/detection logic 1401.

For example, a camera sensor may be used to capture the environmentalcolor temperatures at or near the display device and similarly, an RGBsensor may be used to obtain the environmental light level of each RGBcomponent within the light. It is contemplated that in some embodiments,one or more of the camera and RGB sensors may be used or alternated asnecessitated or desired, such as an RGB sensor may be regarded assuperior over a camera sensor due to the RGB sensor's relatively lowerpower consumption (which enables an “always-on” capability) along withits lower bill of materials (BOM) price, etc.

In one embodiment, reception/detection logic 1401 may receive inputsfrom capturing/sensing components 1421, such as camera and RGB sensors,and input parameters, such as compensation matrix ratio, from matrixlogic 1425, where in another embodiment, reception/detection logic 1401may detect the relevant data being obtained or computed atcapturing/sensing components 1421 and/or matrix logic 1425 and access,in real-time, all or one or more portions of the relevant data,periodically, such as based on a predetermined time period, or asnecessitated or desired.

Further, in one embodiment, triggering and monitoring logic 1403 may beused to trigger one or more of capturing/sensing components 1421 and/ormatrix logic 1425 to provide, on-demand, any amount and type of newand/or historic data, such as sensor inputs, compensation matrix ratio,etc., which may be used for color compensation of contents. Similarly,in another embodiment, triggering and monitoring logic 1403 may monitorone or more of capturing/sensing components 1421 and/or matrix logic1425 to continuously or periodically, such as based on a predeterminedtime period, observe and inspect any new developments in terms of anynew data, such as sensor inputs and/or compensation matrix ratio beingobtained by capturing/sensing components 1421 and/or matrix logic 1425,respectively. If any new data is monitored my triggering and monitoringlogic 1403, it may facilitate reception/detection logic 1401 to obtainthat new data from capturing/sensing components 1421 and/or matrix logic1425 for better compensation of colors.

In one embodiment, upon receiving or detecting input sensor data basedon camera/RGB sensors of capturing/sensing components 1421 and/or inputparameters based compensation matrix ratio (where the input sensor dataand input parameters of matrix ratio are collectively referenced as“compensation data”) at reception/detection logic 1401, the compensationdata may then be received at evaluation reference logic 1405 for furtherprocessing. For example and in one embodiment, evaluation and referencelogic 1405 may recognize and breakdown the compensation data so that itmay then be used for chromatic compensation of graphics and/or videocontent before the content is rendered on a display device of outputcomponents 1423.

In one embodiment, evaluation and reference logic 1405 may recognize thesensor inputs of sensor data received from camera sensor and/or RGBsensor of capturing/sensing components 1421 separately from inputparameters based on programmable-per-color compensation matrix ratio ascomputed by matrix logic 1425. For example, camera or RGB sensors maydetect, in real-time, the actual ambient colors of the light with theenvironment surrounding computing device 1300. For example, a camerasensor and/or an RGB sensor may be able to detect, with precision and inreal-time, the amount and quality of the red color in the sunlightoutdoors or the color blue embedded in the light being emitted by a bulbindoors. It is contemplated that embodiments are not merely limited tooutdoor/indoor lights, but that lights and their colors may vary, fromslightly to profoundly, each time computing device 1300 changes its oneor more of its surrounding (e.g., lights turned off/on, from sunny tocloudy, etc.), location (e.g., from indoors to outdoors), localplacement (e.g., moved from table to chair), orientation (e.g., fromportrait to landscape or corresponding to minor user movements), andpower supply (e.g., battery going from high to low or vice versa),and/or the like.

Further, as aforementioned, embodiments are not limited to a particulartype of device, such as mobile computers, laptops, television sets, carcomputers, desktops, etc., and accordingly, the ambient color changesmay also depend on the system and various capabilities and limitations,etc., of computing device 1300. For example, typical usages of computingdevice 1300 and various enhancement and improvements as facilitated bycolor mechanism 1310 may include (without limitation): 1) enhancedrendering of red and green visual content (versus or as opposed to bluevisual content) in a cold, high ° K. environment light (e.g., typicallycloudy outdoors, indoors with neon lights, etc.); 2) enhanced renderingof blue and green visual content (versus or as opposed to red visualcontent) in a reddish environment light (e.g., typically outdoors atsunset, etc.); 3) enhanced rendering quality of display contents whenexperiencing a low backlight (due to a low battery level) in case of amobile computing device; 4) at least partially compensating displayrendering quality errors on very low tier computing devices embeddinglow-cost displays screens; 5) compensating the ambient chromatic changeseven in a fast changing automobile environment where the environmentlight and its corresponding ambient colorimetry is fast and permanentlychanging with the rapid movement of the car; 6) changing color modedepending on ambient light, upon end-user predefined configuration, suchas rendering flashy colors when computing device 1300 is detected to beoutside, and rendering pale or more brown colors when computing device1300 is detected to be inside in a low-light environment; and/or thelike. With regard to point 6, this does not speak of color correctionbut rather, it relates to color mode versus ambient light. For example,this point provides that an end-user may, in addition to performingcolor compensation, configure how the color compensation is expected toreact (such as through configuration panel on high-tier devices), sobeyond facilitating “natural” color compensation, specific colors (asopposed to color compensation) may be rendered in a particular lightenvironment.

In one embodiment, as illustrated with reference to FIGS. 15A and 15B,input sensor data received from and through a sensor, such as a RGBsensor, may be integrated in time or sampled at a programming rate suchthat the colorimetry or the color sequence is not changed for eachframe, but rather for a time period, such as at each second and thisway, each input pixel may be converted to adapt the color of this pixel.It is contemplated that any input sensor data may be collected,integrated, processed, etc., in accordance with and depending on variouslimitations of computing device 1300, the nature and type ofcapturing/sensing components 1421, output components 1423, such asdisplay devices, and/or the like.

As with the input sensor data, input parameters, prepared by andobtained from matrix logic 1425, may be evaluated by evaluation andreference logic 1405 based on the parameters' revelation of itscompensation matrix ratios that are programmed for each color such thata collection of matrix ratios may be used as a color reference table,such as chromatic compensation lookup table of FIG. 15C, and appliedagainst a color conversion matrix, such as conversion matrix 1533 ofFIG. 15C, for achieving compensation of colors in contents before beingdisplayed as illustrated with reference to FIG. 15C and as facilitatedby evaluation and reference logic 1405. As will be further illustratedwith reference to FIG. 15C, one or more additional inputs, such asframebuffer pixels 1505 of FIGS. 15A-C, may also be used in matching thereference table against the compensation matrix for facilitatingcompensation of content colors prior to the contents being displayedusing one or more display screens of output components 1423.

Once the referencing is performed by evaluation and reference logic1405, various colors and color-related configurations within thecontents are adapted (e.g., modified, increased, decreased, converted,etc.) in accordance with the compensation matrix based on thecompensation data and/or other inputs as facilitated by adaption logic1407. For example, in some embodiments, adaption may include increasingor decreasing of a particular color based on the compensation datawhere, in one embodiment, in a cool indoor environment, an excess ofcolor blue and a lack of color red may be compensated with more of thecolor red, where, in another embodiment, in the same environment, thesame amount of compensation may be achieved by simply sufficientlydecreasing the color blue without having to add any of the color red.Similarly, it is contemplated that any number of adaptions may beperformed to achieve the right amount of compensation of colors asfacilitated by adaption logic 1407.

In one embodiment, once the adaption is performed and the appropriate orsufficient compensation of colors of the contents is achieved, thecompensated contents may then be rendered by rendering logic 1409 to bedisplayed using one or more display screens of output components 1423.As aforementioned, this dynamic sensor-based chromatic contentcompensation is used to significantly improve visual display quality ofthe contents being displayed along with the viewing quality of the userexperiencing it.

Communication/compatibility logic 1411 may be used to facilitate dynamiccommunication and compatibility between one or more computing devices,such as computing device 1300 of FIG. 13, and any number and type ofother computing devices (such as mobile computing device, desktopcomputer, server computing device, etc.), processing devices (such asCPUs, GPUs, etc.), capturing devices (such as capturing/sensingcomponents 1421 including cameras, camera sensors, RGB sensors,microphones, etc.), display devices (such as output components 1423including display screens, display areas, display projectors, etc.),user/context-awareness components and/or identification/verificationsensors/devices (such as biometric sensors/detectors, scanners, etc.),memory or storage devices, databases, and/or data sources (such as datastorage devices, hard drives, solid-state drives, hard disks, memorycards or devices, memory circuits, etc.), communication channels ornetworks (e.g., Cloud network, the Internet, intranet, cellular network,proximity networks, such as Bluetooth, Bluetooth low energy (BLE),Bluetooth Smart, Wi-Fi proximity, Radio Frequency Identification (RFID),Near Field Communication (NFC), Body Area Network (BAN), etc.), wirelessor wired communications and relevant protocols (e.g., Wi-Fi®, WiMAX,Ethernet, etc.), connectivity and location management techniques,software applications/websites, (e.g., social and/or business networkingwebsites, etc., business applications, games and other entertainmentapplications, etc.), programming languages, etc., while ensuringcompatibility with changing technologies, parameters, protocols,standards, etc.

Throughout this document, terms like “logic”, “component”, “module”,“framework”, “engine”, and the like, may be referenced interchangeablyand include, by way of example, software, hardware, and/or anycombination of software and hardware, such as firmware. Further, any useof a particular brand, word, term, phrase, name, and/or acronym, such as“GPU”, “GPU domain”, “CPU”, “CPU domain”, “color”, “chromatic”,“environmental”, “ambient”, “light”, “adaption”, “compensation”,“temperature”, “RGB”, etc., should not be read to limit embodiments tosoftware or devices that carry that label in products or in literatureexternal to this document.

It is contemplated that any number and type of components may be addedto and/or removed from color mechanism 1310 to facilitate variousembodiments including adding, removing, and/or enhancing certainfeatures. For brevity, clarity, and ease of understanding of colormechanism 1310, many of the standard and/or known components, such asthose of a computing device, are not shown or discussed here. It iscontemplated that embodiments, as described herein, are not limited toany particular technology, topology, system, architecture, and/orstandard and are dynamic enough to adopt and adapt to any futurechanges.

FIG. 15A illustrates an architectural setup 1500 according to oneembodiment. As an initial matter, for brevity, clarity, and ease ofunderstanding, many of the details previously discussed with referenceto FIGS. 1-14 may not be repeated or discussed hereafter. As describedwith reference to FIG. 14, in one embodiment, color mechanism 1310 maybe hosted by GPU 1314 that may include any number and type of othercomponents for performing other GPU-based tasks and processing 1507.

In one embodiment and as described with reference to FIG. 14, colormechanism 1310 receives any number and type of inputs, such asintegrated input sensor data 1501 from one or more sensors (e.g., camerasensors, RGB sensors, etc.) of capturing/sensing components 1421 andinput parameters 1503 having compensation matrix ratio (that isprogrammable per color) as computed by matrix logic 1425, and/or thelike. In one embodiment, based on these inputs 1501, 1503, in oneembodiment, color mechanism 1310 may perform one or more colorcompensation-related processes (such as adaption or compensation ofcontent colors), as described with reference to FIG. 14, and forwardsthe resulting data (such as compensated contents) along with any normalframebuffer pixels (such as RGBs) 1505 to video controller 1511 forfurther processing. In one embodiment, video controller 1511 thenprocesses the resulting data and the framebuffer pixels 1505 to provideframebuffer data or compensated display contents (e.g., images,graphics, videos, etc.) to be displayed at one or more displayscreens/devices of output components 1423.

FIG. 15B illustrates an architectural setup 1550 according to oneembodiment. As an initial matter, for brevity, clarity, and ease ofunderstanding, many of the details previously discussed with referenceto FIGS. 1-15A may not be repeated or discussed hereafter. As describedwith reference to FIG. 14, in one embodiment, various component andfeatures of color mechanism 1310 may be provided through a hardwarecomponent, such as color compensation component (“color component”)1520, hosted by video controller 1511 that is in communication with GPU1314 and one or more output components 1423.

As illustrated, in one embodiment, the hardware-based color compensationcomponent 1520 may be employed at and hosted by video controller 1511,in lieu of the entire color mechanism 1310 or in addition to one or morecomponents of color mechanism 1310, where other video controllingcomponents may also be employed to perform other video controller-basedtasks and processing 1513A-B. In one embodiment, color component 1520may be capable of performing any number and type of tasks andfunctionalities of color mechanism 1310, in lieu of color mechanism1310, to achieve color compensation in contents that are then displayedon one or more display screens of output components 1423 as describedthroughout this document.

As described with reference to FIG. 15A, any number and type of inputsmay be provided to or received at color component 1520 to perform theaforementioned tasks and functionalities to achieve the colorcompensation of display contents, such inputs may include one or more ofintegrated input sensor data 1501 from one or more sensors (e.g., camerasensors, RGB sensors, etc.) of capturing/sensing components 1421, inputparameters 1503 having compensation matrix ratio (that is programmableper color) as computed by and received from matrix logic 1425, andframebuffer pixels 1505 from GPU 1314, and/or the like.

In one embodiment, based on these inputs 1501, 1503, 1505, colorcomponent 1520 may perform one or more color compensation-relatedprocesses (such as adaption or compensation of content colors), asdescribed with reference to FIG. 14, and forwards the resulting data(such as compensated contents) to be rendered as framebuffer data orcompensated display contents (e.g., images, graphics, videos, etc.) atone or more display screens/devices of output components 1423.

In one embodiment, color component 1520 is added within the hardwareprocessing chain of video controller 1511, such as after video planescombining and before full content rotation. Further, for example, an RGBsensor of capturing/sensing components 1421 may provide input sensordata 1501 that is integrated in time or sampled at a programming ratesuch that the colorimetry is not changed for each frame and rather for aparticular time period, such as every second. In one embodiment, colorcomponent 1520 may serve as a color space converter to convert eachinput pixel to adapt the color to this pixel. Moreover, in oneembodiment, this hardware implementation of color component 1520 may bepower-efficient and consume very little power such that it can work withany number and type of CPU cores, GPU processors, etc., in low-powermodes, where the framebuffer data (e.g., display content) is transferredto a display screen with a continuous adaption of color rendering.

FIG. 15C illustrates an architectural setup 1575 according to oneembodiment. As an initial matter, for brevity, clarity, and ease ofunderstanding, many of the details previously discussed with referenceto FIGS. 1-15B may not be repeated or discussed hereafter. In both FIGS.15A and 15B, embodiments provide for controlling the chromatic colorconversion of contents to be rendered by factoring environmental lightparameters into the coefficients of the color space conversion matrix,wherein color mechanism 1310 and/or color component 1520 target a colorcompensation being a conversion matrix criteria, such as (withoutlimitation): 1) RED pixel out (to display)=RED pixel in (fromframebuffer)×f(RED sensor in, GREEN sensor in, BLUE sensor in); 2) GREENpixel out (to display)=GREEN pixel in (from framebuffer)×f(RED sensorin, GREEN sensor in, BLUE sensor in); and 3) BLUE pixel out (todisplay)=BLUE pixel in (from framebuffer)×f(RED sensor in, GREEN sensorin, BLUE sensor in). In one embodiment, the aforementioned color matrixcriteria may be used to generate color matrix 1533 as facilitated byevaluation and reference logic 1405 of FIG. 14.

Further, for example, the matrix coefficients are programmable toaddress one or more of the following (without limitation): 1) displaychromatic compensation (such as display chromatic defaults); 2) sensorchromatic compensation (such as sensor chromatic defaults); 3) chromaticcorrection which may not be perceived by an end-user in the same waydepending if it is R, G, B, where typically human eye perceives finergranularity in the green color; and 4) a conversion which may be done inanother color space (such as other than RGB), where this may beadvantageous to making the adaption in another color space and closer tothe end-user perception.

In one embodiment, this color compensation may be performed using threeinputs (such as R, G, B) for distinctly compensating for each color. Inthe illustrated embodiment, input sensor data (such as based onsensed/detected ambient colors) 1501 and programmable lookup table (suchas based on input parameters) 1503 may be received at color mechanism1310, where programmable lookup table 1503 and its input parameters areused to generate a non-linear lookup table, such as chromaticcompensation lookup table 1531 as facilitated by evaluation andreference logic 1405 of FIG. 14. In one embodiment, anyenvironmental/ambient colors as determined thorough color temperaturesand/or as obtained from the input sensor data (sensed by camera sensors,RGB sensors, etc.) are matched against the input parameters usingchromatic compensation lookup table 1531. Further, in one embodiment,the results of the referencing of chromatic compensation lookup table1531 are matched against the contents of conversion matrix 1533 asfacilitated by evaluation and reference logic 1405 of FIG. 14.

In one embodiment, the resulting data based on the referencing ofchromatic compensation lookup table 1531 and the conversion matrix 1533,and/or framebuffer pixels (such as RGBs), etc., may be used for adaptionor compensation of colors within content (e.g., still images, graphics,videos, etc.) as facilitated by adaption logic 1407 of FIG. 14 and thiscompensated content is then forwarded or rendered on to one or moredisplay devices of output components 1423 for displaying as facilitatedby rendering logic 1409 of FIG. 14.

FIG. 16 illustrates a method 1600 for color compensation of contentaccording to one embodiment. Method 1600 may be performed by processinglogic that may comprise hardware (e.g., circuitry, dedicated logic,programmable logic, etc.), software (such as instructions run on aprocessing device), or a combination thereof. In one embodiment, method1600 may be performed by color mechanism 1310 of FIGS. 13-14. Theprocesses of method 1600 are illustrated in linear sequences for brevityand clarity in presentation; however, it is contemplated that any numberof them can be performed in parallel, asynchronously, or in differentorders. For brevity, many of the details discussed with reference to thepreceding FIGS. 1-15C may not be discussed or repeated hereafter.

Method 1600 begins at block 1601 with receiving data inputs, such assensory input data and input parameters, etc., at a computing device(e.g., mobile computer, such as a smartphone, tablet computer, etc.). Asaforementioned, it is contemplated that the data inputs may be receivedor detected or monitored over a period of time. At block 1603, asillustrated with reference to FIG. 15C, a chromatic compensation lookuptable is generated based on the input parameters as facilitated byevaluation and reference logic 1405 of FIG. 14. Similarly, at block1605, as illustrated with reference to FIG. 15C, a color conversionmatrix is generated based on predetermined color conversion criteria asfacilitated by evaluation and reference logic 1405 of FIG. 14. At block1607, the sensory input data (e.g., environmental light chromaticmonitoring data, such as ambient colors, color temperatures, etc.) arereferenced against the contents of the chromatic compensation lookuptable and the results are then further referenced against the contentsof the conversion matrix. At block 1609, the referencing results alongwith any framebuffer pixels received from a GPU are applied to thevarious colors in the content to compensate the colors within thecontent to adapt to the changing environment surrounding the computingdevice. At block 1611, the compensated content having the compensatedcolors is forwarded on to a display device. At block 1613, thecompensated content is rendered on the display device in accordance withand adapting to the environmental conditions, such as outdoor bright(red) lights, indoor dull (blue) lights, etc.

References to “one embodiment”, “an embodiment”, “example embodiment”,“various embodiments”, etc., indicate that the embodiment(s) sodescribed may include particular features, structures, orcharacteristics, but not every embodiment necessarily includes theparticular features, structures, or characteristics. Further, someembodiments may have some, all, or none of the features described forother embodiments.

In the foregoing specification, embodiments have been described withreference to specific exemplary embodiments thereof. It will, however,be evident that various modifications and changes may be made theretowithout departing from the broader spirit and scope of embodiments asset forth in the appended claims. The Specification and drawings are,accordingly, to be regarded in an illustrative rather than a restrictivesense.

In the following description and claims, the term “coupled” along withits derivatives, may be used. “Coupled” is used to indicate that two ormore elements co-operate or interact with each other, but they may ormay not have intervening physical or electrical components between them.

As used in the claims, unless otherwise specified the use of the ordinaladjectives “first”, “second”, “third”, etc., to describe a commonelement, merely indicate that different instances of like elements arebeing referred to, and are not intended to imply that the elements sodescribed must be in a given sequence, either temporally, spatially, inranking, or in any other manner.

The following clauses and/or examples pertain to further embodiments orexamples. Specifics in the examples may be used anywhere in one or moreembodiments. The various features of the different embodiments orexamples may be variously combined with some features included andothers excluded to suit a variety of different applications. Examplesmay include subject matter such as a method, means for performing actsof the method, at least one machine-readable medium includinginstructions that, when performed by a machine cause the machine toperforms acts of the method, or of an apparatus or system forfacilitating hybrid communication according to embodiments and examplesdescribed herein.

Some embodiments pertain to Example 1 that includes an apparatus tofacilitate chromatic adaptation of display contents based on chromaticmonitoring of environmental light at computing devices, comprising:reception/detection logic to receive sensory input data indicating oneor more ambient colors based on real-time or periodic chromaticmonitoring of environmental light surrounding the apparatus; evaluationand reference logic to refer the sensory input data against contents ofa lookup table to determine color compensation of content based on theone or more ambient colors; adaption logic to dynamically facilitatechromatic adaptation of existing colors of the content based on thecolor compensation to compensate the content; and rendering logic torender the compensated content to be displayed via a display device.

Example 2 includes the subject matter of Example 1, wherein the lookuptable comprises a non-linear chromatic compensation lookup table basedon input parameters indicating a plurality of color composition patternsfor a plurality of ambient colors of the light, wherein the plurality ofambient colors include the one or more ambient colors.

Example 3 includes the subject matter of Example 1, wherein the one ormore ambient colors of the light are sensed by one or more sensorsincluding one or more of a camera sensor and a Red Green Blue (RGB)sensor, wherein the one or more ambient colors are sensed based on oneor more temperatures of the light.

Example 4 includes the subject matter of Example 1 or 3, wherein the oneor more ambient colors include one or more of red, yellow, green, blue,and white, wherein the red indicates the light being hot, and whereinthe white indicates the light being cool.

Example 5 includes the subject matter of Example 1, wherein dynamicadaption of the existing colors is further based on a color compensationmatrix, wherein the color compensation matrix includes a colorconversion pattern to be applied to a plurality of pixels of thecontent.

Example 6 includes the subject matter of Example 1 or 2, furthercomprising triggering and monitoring logic to trigger the one or moresensors to sense the plurality of ambient colors, and wherein thetriggering and monitoring logic is further to monitoring the one or moresensors and the sensing of the plurality of ambient colors.

Example 7 includes the subject matter of Example 1, further comprising avideo controller hosting a hardware-based color compensation componentto facilitate color compensation operations associated with one or moreof reception/detection logic, evaluation and reference logic, triggeringand monitoring logic, adaption logic, and rendering logic.

Example 8 includes the subject matter of Example 1, wherein the displaydevice comprises at least one of a head-mounted display (HMD) forvirtual reality (VR) or augmented reality (AR), a high-resolutiondisplay, a high-dynamic range display, and a multi-view display.

Some embodiments pertain to Example 9 that includes a method forfacilitating chromatic adaptation of display contents based on chromaticmonitoring of environmental light at computing devices, comprising:receiving sensory input data indicating one or more ambient colors basedon real-time or periodic chromatic monitoring of environmental lightsurrounding the apparatus; referring the sensory input data againstcontents of a lookup table to determine color compensation of contentbased on the one or more ambient colors; dynamically facilitatingchromatic adaptation of existing colors of the content based on thecolor compensation to compensate the content; and rendering thecompensated content to be displayed via a display device.

Example 10 includes the subject matter of Example 9, wherein the lookuptable comprises a non-linear chromatic compensation lookup table basedon input parameters indicating a plurality of color composition patternsfor a plurality of ambient colors of the light, wherein the plurality ofambient colors include the one or more ambient colors.

Example 11 includes the subject matter of Example 9, wherein the one ormore ambient colors of the light are sensed by one or more sensorsincluding one or more of a camera sensor and a Red Green Blue (RGB)sensor, wherein the one or more ambient colors are sensed based on oneor more temperatures of the light.

Example 12 includes the subject matter of Example 9 or 11, wherein theone or more ambient colors include one or more of red, yellow, green,blue, and white, wherein the red indicates the light being hot, andwherein the white indicates the light being cool.

Example 13 includes the subject matter of Example 9, wherein dynamicadaption of the existing colors is further based on a color compensationmatrix, wherein the color compensation matrix includes a colorconversion pattern to be applied to a plurality of pixels of thecontent.

Example 14 includes the subject matter of Example 9 or 10, furthercomprising triggering the one or more sensors to sense the plurality ofambient colors, and monitoring the one or more sensors and the sensingof the plurality of ambient colors.

Example 15 includes the subject matter of Example 9, further comprisinghosting, via a video controller, a hardware-based color compensationcomponent to facilitate color compensation operations associated withone or more of reception/detection logic, evaluation and referencelogic, triggering and monitoring logic, adaption logic, and renderinglogic.

Example 16 includes the subject matter of Example 9, wherein the displaydevice comprises at least one of a head-mounted display (HMD) forvirtual reality (VR) or augmented reality (AR), a high-resolutiondisplay, a high-dynamic range display, and a multi-view display.

Example 17 includes at least one machine-readable medium comprising aplurality of instructions, when executed on a computing device, toimplement or perform a method or realize an apparatus as claimed in anypreceding claims.

Example 18 includes at least one non-transitory or tangiblemachine-readable medium comprising a plurality of instructions, whenexecuted on a computing device, to implement or perform a method orrealize an apparatus as claimed in any preceding claims.

Example 19 includes a system comprising a mechanism to implement orperform a method or realize an apparatus as claimed in any precedingclaims.

Example 20 includes an apparatus comprising means to perform a method asclaimed in any preceding claims.

Example 21 includes a computing device arranged to implement or performa method or realize an apparatus as claimed in any preceding claims.

Example 22 includes a communications device arranged to implement orperform a method or realize an apparatus as claimed in any precedingclaims.

Some embodiments pertain to Example 23 includes a system comprising astorage device having instructions, and a processor to execute theinstructions to facilitate a mechanism to perform one or more operationscomprising: receiving sensory input data indicating one or more ambientcolors based on real-time or periodic chromatic monitoring ofenvironmental light surrounding the apparatus; referring the sensoryinput data against contents of a lookup table to determine colorcompensation of content based on the one or more ambient colors;dynamically facilitating chromatic adaptation of existing colors of thecontent based on the color compensation to compensate the content; andrendering the compensated content to be displayed via a display device.

Example 24 includes the subject matter of Example 23, wherein the lookuptable comprises a non-linear chromatic compensation lookup table basedon input parameters indicating a plurality of color composition patternsfor a plurality of ambient colors of the light, wherein the plurality ofambient colors include the one or more ambient colors.

Example 25 includes the subject matter of Example 23, wherein the one ormore ambient colors of the light are sensed by one or more sensorsincluding one or more of a camera sensor and a Red Green Blue (RGB)sensor, wherein the one or more ambient colors are sensed based on oneor more temperatures of the light.

Example 26 includes the subject matter of Example 23 or 25, wherein theone or more ambient colors include one or more of red, yellow, green,blue, and white, wherein the red indicates the light being hot, andwherein the white indicates the light being cool.

Example 27 includes the subject matter of Example 23, wherein dynamicadaption of the existing colors is further based on a color compensationmatrix, wherein the color compensation matrix includes a colorconversion pattern to be applied to a plurality of pixels of thecontent.

Example 28 includes the subject matter of Example 23 or 24, wherein theone or more operations further comprise triggering the one or moresensors to sense the plurality of ambient colors, and monitoring the oneor more sensors and the sensing of the plurality of ambient colors.

Example 29 includes the subject matter of Example 23, wherein the one ormore operations further comprise hosting, via a video controller, ahardware-based color compensation component to facilitate colorcompensation operations associated with one or more ofreception/detection logic, evaluation and reference logic, triggeringand monitoring logic, adaption logic, and rendering logic.

Example 30 includes the subject matter of Example 23, wherein thedisplay device comprises at least one of a head-mounted display (HMD)for virtual reality (VR) or augmented reality (AR), a high-resolutiondisplay, a high-dynamic range display, and a multi-view display.

Some embodiments pertain to Example 31 includes an apparatus comprising:means for receiving sensory input data indicating one or more ambientcolors based on real-time or periodic chromatic monitoring ofenvironmental light surrounding the apparatus; means for referring thesensory input data against contents of a lookup table to determine colorcompensation of content based on the one or more ambient colors; meansfor dynamically facilitating chromatic adaptation of existing colors ofthe content based on the color compensation to compensate the content;and means for rendering the compensated content to be displayed via adisplay device.

Example 32 includes the subject matter of Example 31, wherein the lookuptable comprises a non-linear chromatic compensation lookup table basedon input parameters indicating a plurality of color composition patternsfor a plurality of ambient colors of the light, wherein the plurality ofambient colors include the one or more ambient colors.

Example 33 includes the subject matter of Example 31, wherein the one ormore ambient colors of the light are sensed by one or more sensorsincluding one or more of a camera sensor and a Red Green Blue (RGB)sensor, wherein the one or more ambient colors are sensed based on oneor more temperatures of the light.

Example 34 includes the subject matter of Example 31 or 33, wherein theone or more ambient colors include one or more of red, yellow, green,blue, and white, wherein the red indicates the light being hot, andwherein the white indicates the light being cool.

Example 35 includes the subject matter of Example 31, wherein dynamicadaption of the existing colors is further based on a color compensationmatrix, wherein the color compensation matrix includes a colorconversion pattern to be applied to a plurality of pixels of thecontent.

Example 36 includes the subject matter of Example 31 or 32, furthercomprising means for triggering the one or more sensors to sense theplurality of ambient colors, and monitoring the one or more sensors andthe sensing of the plurality of ambient colors.

Example 37 includes the subject matter of Example 31, further comprisingmeans for hosting, via a video controller, a hardware-based colorcompensation component to facilitate color compensation operationsassociated with one or more of reception/detection logic, evaluation andreference logic, triggering and monitoring logic, adaption logic, andrendering logic.

Example 38 includes the subject matter of Example 31, wherein thedisplay device comprises at least one of a head-mounted display (HMD)for virtual reality (VR) or augmented reality (AR), a high-resolutiondisplay, a high-dynamic range display, and a multi-view display.

Example 39 includes at least one non-transitory or tangiblemachine-readable medium comprising a plurality of instructions, whenexecuted on a computing device, to implement or perform a method asclaimed in any of claims or examples 9-16.

Example 40 includes at least one machine-readable medium comprising aplurality of instructions, when executed on a computing device, toimplement or perform a method as claimed in any of claims or examples9-16.

Example 41 includes a system comprising a mechanism to implement orperform a method as claimed in any of claims or examples 9-16.

Example 42 includes an apparatus comprising means for performing amethod as claimed in any of claims or examples 9-16.

Example 43 includes a computing device arranged to implement or performa method as claimed in any of claims or examples 9-16.

Example 44 includes a communications device arranged to implement orperform a method as claimed in any of claims or examples 9-16.

The drawings and the forgoing description give examples of embodiments.Those skilled in the art will appreciate that one or more of thedescribed elements may well be combined into a single functionalelement. Alternatively, certain elements may be split into multiplefunctional elements. Elements from one embodiment may be added toanother embodiment. For example, orders of processes described hereinmay be changed and are not limited to the manner described herein.Moreover, the actions any flow diagram need not be implemented in theorder shown; nor do all of the acts necessarily need to be performed.Also, those acts that are not dependent on other acts may be performedin parallel with the other acts. The scope of embodiments is by no meanslimited by these specific examples. Numerous variations, whetherexplicitly given in the specification or not, such as differences instructure, dimension, and use of material, are possible. The scope ofembodiments is at least as broad as given by the following claims.

1.-21. (canceled)
 22. An apparatus comprising: reception/detection logicto receive sensory input data indicating one or more ambient colorsbased on real-time or periodic chromatic monitoring of environmentallight surrounding the apparatus; evaluation and reference logic to referthe sensory input data against contents of a lookup table to determinecolor compensation of content based on the one or more ambient colors;adaption logic to dynamically facilitate chromatic adaptation ofexisting colors of the content based on the color compensation tocompensate the content; and rendering logic to render the compensatedcontent to be displayed via a display device.
 23. The apparatus of claim22, wherein the lookup table comprises a non-linear chromaticcompensation lookup table based on input parameters indicating aplurality of color composition patterns for a plurality of ambientcolors of the light, wherein the plurality of ambient colors include theone or more ambient colors.
 24. The apparatus of claim 22, wherein theone or more ambient colors of the light are sensed by one or moresensors including one or more of a camera sensor and a Red Green Blue(RGB) sensor, wherein the one or more ambient colors are sensed based onone or more temperatures of the light.
 25. The apparatus of claim 24,wherein the one or more ambient colors include one or more of red,yellow, green, blue, and white, wherein the red indicates the lightbeing hot, and wherein the white indicates the light being cool.
 26. Theapparatus of claim 22, wherein dynamic adaption of the existing colorsis further based on a color compensation matrix, wherein the colorcompensation matrix includes color conversion pattern to be applied to aplurality of pixels of the content.
 27. The apparatus of claim 22,further comprising triggering and monitoring logic to trigger the one ormore sensors to sense the plurality of ambient colors, and wherein thetriggering and monitoring logic is further to monitoring the one or moresensors and the sensing of the plurality of ambient colors.
 28. Theapparatus of claim 22, further comprising a video controller hosting ahardware-based color compensation component to facilitate colorcompensation operations associated with one or more ofreception/detection logic, evaluation and reference logic, triggeringand monitoring logic, adoption logic, and render logic.
 29. Theapparatus of claim 22, wherein the display device comprises at least oneof a head-mounted display (HMD) for virtual reality (VR) or augmentedreality (AR), a high-resolution display, high-dynamic range display, anda multi-view display.
 30. A method comprising: receiving sensory inputdata indicating one or more ambient colors based on real-time orperiodic chromatic monitoring of environmental light surrounding theapparatus; referring the sensory input data against contents of a lookuptable to determine color compensation of content based on the one ormore ambient colors; dynamically facilitating chromatic adaptation ofexisting colors of the content based on the color compensation tocompensate the content; and rendering the compensated content to bedisplayed via a display device.
 31. The method of claim 30, wherein thelookup table comprises a non-linear chromatic compensation lookup tablebased on input parameters indicating a plurality of color compositionpatterns for a plurality of ambient colors of the light, wherein theplurality of ambient colors include the one or more ambient colors. 32.The method of claim 30, wherein the one or more ambient colors of thelight are sensed by one or more sensors including one or more of acamera sensor and a Red Green Blue (RGB) sensor, wherein the one or moreambient colors are sensed based on one or more temperatures of thelight.
 33. The method of claim 32, wherein the one or more ambientcolors include one or more of red, yellow, green, blue, and white,wherein the red indicates the light being hot, and wherein the whiteindicates the light being cool.
 34. The method of claim 30, whereindynamic adoption of the existing colors is further based on a colorcompensation matrix, wherein the color compensation matrix includes acolor conversion pattern to be applied to a plurality of pixels of thecontent.
 35. The method of claim 30, further comprising triggering theone or more sensors to sense the plurality of ambient colors, andmonitoring the one or more sensors and the sensing of the plurality ofambient colors.
 36. The method of claim 30, further comprising hosting,via a video controller, a hardware-based color compensation component tofacilitate color compensation operations associated with one or more ofreception/detection logic, evaluation and reference logic, triggeringand monitoring logic, adaption logic, and rendering logic.
 37. Themethod of claim 30, wherein the display device comprises at least one ofa head-mounted display (HMD) for virtual reality (VR) or augmentedreality (AR), a high-resolution display, a high-dynamic range display,and a multi-view display.
 38. At least one machine-readable mediumcomprising a plurality of instructions, executed on a computing device,to facilitate the computing device to perform one or more operationscomprising: receiving sensory input data indicating one or more ambientcolors based on real-time or periodic chromatic monitoring ofenvironmental light surrounding the apparatus; referring the sensoryinput data against contents of a lookup table to determine colorcompensation of content based on the one or more ambient colors;dynamically facilitating chromatic adaptation of existing colors of thecontent based on the color compensation to compensate the content; andrendering the compensated content to be displayed via a display device.39. The machine-readable medium of claim 38, wherein the lookup tablecomprises a non-linear chromatic compensation lookup table based oninput parameters indicating a plurality of color composition patternsfor a plurality of ambient colors of the light, wherein the plurality ofambient colors include the one or more ambient colors.
 40. Themachine-readable medium of claim 38, wherein the one or more ambientcolors of the light are sensed by one or more sensors including one ormore of a camera sensor and a Red Green Blue (RGB) sensor, wherein theone or more ambient colors are sensed based on one or more temperaturesof the light.
 41. The machine-readable medium of claim 40, wherein theone or more ambient colors include one or more of red, yellow, green,blue, and white, wherein the red indicates the light being hot, andwherein the white indicates the light being cool.